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1
Wan, Pengfei, Yuanlong Weng, Jingwei Xu, and Guisheng Liao. "Range Gate Pull-Off Mainlobe Jamming Suppression Approach with FDA-MIMO Radar: Theoretical Formalism and Numerical Study." Remote Sensing 14, no. 6 (2022): 1499. http://dx.doi.org/10.3390/rs14061499.
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With the development of an electronic interference technique, the self-defense jammer can generate mainlobe jamming using the range gate pull-off (RGPO) strategy, which brings serious performance degradation of target tracking for the ground-based warning radar. In this paper, a RGPO mainlobe jamming suppression approach is proposed, with a frequency diverse array using multiple-input multiple-output (FDA-MIMO) radar. The RGPO mainlobe jamming differs from the true target in slant range, thus it is possible to identify the true target from the RGPO mainlobe jammings by exploiting the transmit beampattern diversity of FDA-MIMO radar. A RGPO mainlobe jamming suppression approach is devised by using joint transmit–receive beamforming for a group of range sectors. The jamming suppression performance is studied, in consideration of practical time-delay of RGPO jamming. Simulation examples are provided to verify the effectiveness of the proposed approach.
2
Liu, Ying-Xi, Qun Zhang, Shi-Chao Xiong, Hao-Bo Wang, Hang Yuan, and Ying Luo. "A Multiple-False-Target ISAR Shape Deception Jamming Method Based on Improved Template Multiplication Modulated Time-Delay Algorithm and Sub-Nyquist Sampling." Remote Sensing 15, no. 20 (2023): 5015. http://dx.doi.org/10.3390/rs15205015.
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In recent decades, the deception jamming approach based on digital radio frequency memory (DRFM) for inverse synthetic aperture radar (ISAR) has been a well-researched topic. Various types of jamming signals based on interrupted-sampling repeater jamming (ISRJ) can induce one-dimensional multiple high-resolution range profile (HRRP) false targets or two-dimensional realistic multiple ISAR false targets for deception. However, these existing methods generate false targets that are identical to the real target. The ISRJ false target also generates a main false target whose energy is much higher than other sub-false targets. Thus, it is easy to discover that the radar has suffered jamming. In order to generate better, more confusing jamming signals, this paper proposes a jamming method based on sub-Nyquist sampling jamming to induce realistic, multiple false targets on ISAR images. It improves a template multiplication modulated time-delay method to eliminate and add scatterers on the selected false target to change its ISAR shape. The frequency-shift parameters of the template jamming signal are analyzed and derived in detail for eliminating and adding scatterers at the specified location. Thus, multiple false targets with different ISAR shapes and similar energy are generated, which can create better deception effects. Meanwhile, this method can adjust the number of false targets and the location of changed-shape false targets. Furthermore, the resolution of the false target can adaptively change with the radar pulse width and the accumulated pulse number. The simulation results show that the proposed deception jamming strategy works.
3
Song, Kyuha, Hyungyu Kwak, Sanhae Kim, Inhwan Jeong, Jonghwan Lee, and Byeongnam Lee. "Analysis of Deception Jamming Effects on FM Radio based Passive Radar." Journal of the Korea Institute of Military Science and Technology 25, no. 3 (2022): 239–50. http://dx.doi.org/10.9766/kimst.2022.25.3.239.
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In this paper, we analyze the performance of an FM radio based passive radar in the presence of deception jamming such as false-target generation. To do this, we examine the effects of applying the deception jamming signal to the passive radar through the derivation of the construction of the amplitude-range-Doppler(ARD) plot. The analysis results show that applying the deception jamming signal with the low power similar to the target echo signal generates false targets at positions set by the jamming variables compared to the real target position in the ARD plot. Also, it is possible to induce the jamming effect so that only false targets are detected by selecting appropriate jamming power. Simulations are included to verify the theoretical results and to discuss on the effectiveness of the deception jamming on the FM radio based passive radar.
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Luo, Zhihao, Jianbing Li, Xueyu Dong, and Jianbang Sun. "Research on Non-uniform Interrupted Sampling Repeater Jamming for Phase Coded Radar." Journal of Physics: Conference Series 2209, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2209/1/012004.
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Abstract Because of using correlation processing technology, it is difficult for traditional jamming patterns to achieve the desired jamming effect on phase coded radar. At present, the forward deception jamming of phase coded radar is mainly realized by uniform interrupted sampling repeater jamming (UISRJ). In order to solve the problem that the UISRJ can only produce a single and delayed false target, a kind of non-uniform interrupted sampling repeater jamming (NUISRJ) is proposed. The non-uniform sampling pulse train is generated through pseudo random sequence, and then sampled and forwarded to generate jamming signal, which is processed by radar pulse compression to form dense false targets. Combining the theoretical analysis and simulation results, it can be seen that the NUISRJ has the dual effects of suppressing jamming and spoofing jamming, and the distribution of false target string is more random, including the leading and lagging false target. The amplitude and coverage area of false targets group can be controlled by adjusting sampling pulse width and forwarding times to effectively implement jamming.
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Liu, Zhidong, Qun Zhang, and Kaiming Li. "An Anti-Jamming Method against Two-Dimensional Deception Jamming by Spatial Location Feature Recognition." Sensors 21, no. 22 (2021): 7702. http://dx.doi.org/10.3390/s21227702.
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Interrupted sampling repeater jamming (ISRJ) is an effective method for implementing deception jamming on chirp radars. By means of frequency-shifting jamming processing of the target echo signal and pulse compression during image processing, a group of false targets will appear in different spatial locations around the true target. Extracting the features of these false targets is complex and limited to existing countering methods against ISRJ. This paper proposes an anti-jamming method to identify the spatial location characteristics of two-dimensional deception false targets. By adjusting the parameters of the radar transmitted signal, the method simultaneously transmits the anti-jamming signal and carries out false target identification and elimination in the range and azimuth dimensions. Eventually, the optimal signal parameter design of the anti-jamming signal is obtained by comparing different anti-jamming strategies in the range dimension. The validity of the proposed method is proved by deducing the mathematical model between the spatial distribution characteristics of the false targets and the radar transmitted signal parameters and demonstrated by simulations.
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Zeng, Li, Hui Chen, Zhaojian Zhang, Weijian Liu, Yongliang Wang, and Liuliu Ni. "Cutting Compensation in the Time-Frequency Domain for Smeared Spectrum Jamming Suppression." Electronics 11, no. 13 (2022): 1970. http://dx.doi.org/10.3390/electronics11131970.
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Smeared spectrum (SMSP) jamming is a new type of distance false-target jamming. It consists of multiple sub-pulses, which results in dense false targets at the radar receiver and affects the detection of target signal. Aiming at the suppression of SMSP jamming, in this paper we propose a fast jamming suppression method based on the time-frequency domain according to the time-frequency distribution characteristic of SMSP jamming. This method completely suppresses SMSP jamming in the time-frequency domain, retains the time-frequency points of the remaining target signal, uses the compensation method to obtain the lost target signal, and then restores the time-frequency distribution characteristic of the target signal. It will not produce jamming sidelobe after the recovered signal matched filtering in the time domain. Moreover, we can obtain the Doppler frequency in the time-frequency domain, which can be adopted in practical engineering applications. The simulation results illustrate the effectiveness of the proposed method.
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Liu, Yingxi, Qun Zhang, Zhidong Liu, Guangming Li, Shichao Xiong, and Ying Luo. "An Anti-Jamming Method against Interrupted Sampling Repeater Jamming Based on Compressed Sensing." Sensors 22, no. 6 (2022): 2239. http://dx.doi.org/10.3390/s22062239.
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Interrupted sampling repeater jamming (ISRJ) is an attracted coherent jamming method to inverse synthetic aperture radar (ISAR) in the past decades. By means of different jamming parameters settings, realistic dense false targets can be formed around the true target. This paper proposed an adaptive anti-jamming method against ISRJ by adjusting the number of measurements based on compressed sensing (CS). The jamming signal is energy concentrated and segmented sparse in the frequency domain. The measurements number of the reconstructed target signal and the jamming signal is different. According to the restricted isometry property (RIP) condition of CS theory, signal reconstructing performance depends on the number of measurements that varies with the sparsity of the vector. Thus, the jamming signal is suppressed, and the true target signal is retained by altering the measurements number of echo signals. Besides, the two-dimensional (2D) anti-jamming method is derived in detail. The anti-jamming effect is analyzed with different signal-to-noise ratios (SNR), sampling rates, and jam-to-signal ratios (JSR). Simulations prove the effectiveness of the proposed anti-jamming method.
8
Cheng, Yuan, Daiyin Zhu, and Jindong Zhang. "High Precision Sparse Reconstruction Scheme for Multiple Radar Mainlobe Jammings." Electronics 9, no. 8 (2020): 1224. http://dx.doi.org/10.3390/electronics9081224.
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Radar mainlobe jamming has attracted considerable attention in the field of electronic countermeasures. When the direction of arrival (DOA) of jamming is close to that of the target, the conventional antijamming methods are ineffective. Generally, mainlobe antijamming method based on blind source separation (BSS) can deteriorate the target direction estimation. Thus in this paper, a high precision sparse reconstruction scheme for multiple radar mainlobe jammings is proposed that does not suffer from failure or performance degradation inherent in the traditional method. First, the mainlobe jamming signal and desired signal components are extracted by using the joint approximation diagonalization of eigenmatrices (JADE) method. Then, oblique projection with sparse Bayesian learning (OP-SBL) method is employed to reconstruct the target with high precision. The proposed method is capable of suppressing at most three radar mainlobe jammers adaptively and also obtain DOA estimation error less than 0.1°. Simulation and experimental results confirm the effectiveness of the proposed method.
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Li, Hua, Zhenning Li, Kaiyu Liu, et al. "A Broadband Information Metasurface-Assisted Target Jamming System for Synthetic Aperture Radar." Remote Sensing 16, no. 9 (2024): 1499. http://dx.doi.org/10.3390/rs16091499.
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In recent years, jamming strategies for Synthetic Aperture Radar (SAR) pertaining to target detection and identification, such as the creation of false targets, electromagnetic (EM) deception, and signal spoofing, have been increasingly emphasized. Distinct from traditional SAR jamming approaches, the introduction of an innovative artificial material cloak in SAR target jamming presents augmented capabilities. These methods demonstrate a proficient redirection of incident EM waves in specific or arbitrary directions, effectively masking the vital information linked to critical targets. This study introduces a broadband SAR target jamming system employing an information metasurface that incorporates intelligent information processing algorithms in conjunction with a space-time-coding digital metasurface, endowing it with the capacity to adeptly modulate incident EM waves. This integration facilitates a versatile approach to jamming, enabling the deployment of multi-mode protective measures against critical targets. The conducted simulation and experiment results validate the system’s ability to adjustably produce EM deception and generate multiple false targets independently of the SAR system. The outcomes of this research significantly advance the practicality of SAR protection strategies, pushing the boundaries toward more dynamic, broadband, and controllable scenarios, thereby substantially improving the concealment of critical targets in highly sensitive conflict areas.
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He, Xuesi, Kuo Liao, Shupeng Peng, Zhenjie Tian, and Jiyan Huang. "Interrupted-Sampling Repeater Jamming-Suppression Method Based on a Multi-Stages Multi-Domains Joint Anti-Jamming Depth Network." Remote Sensing 14, no. 14 (2022): 3445. http://dx.doi.org/10.3390/rs14143445.
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Jamming will seriously affect the detection ability of radar, so it is essential to suppress the jamming of radar echoes. Interrupted-sampling repeater jamming (ISRJ) based on a digital-radio-frequency-memory (DRFM) device can generate false targets at the victim radar by the interception and repeating of the radar transmission signal, which is highly correlated with the true target signal. ISRJ can achieve main lobe jamming and has both deception and oppressive jamming effects, so it is difficult for the existing methods to suppress this jamming effectively. In this paper, we propose a deep-learning-based anti-jamming network, named MSMD-net (Multi-stage Multi-domain joint anti-jamming depth network), for suppressing ISRJ main lobe jamming in the radar echo. In the first stage of MSMD-net, considering that the target signal is difficult to detect under a high jamming-to-signal ratio (JSR), we propose a preprocessing method of limiting filtering on the time-frequency domain to reduce the JSR using the auxiliary knowledge of radar. In the second stage, taking advantage of the discontinuity of the jamming in the time domain, we propose a UT-net network that combines the U-net structure and the transformer module. The UT-net performs target feature extraction and signal reconstruction in the signal time-frequency domain and preliminarily realizes the suppression of the jamming component. In the third stage, combined with phase information, a one-dimensional complex residual convolution U-net network (ResCU-net) is constructed in the time domain to realize jamming filtering and signal recovery further. The experimental results show that MSMD-net can obtain the best jamming suppression effect under different transmitted signals, different jamming modes, and different jamming parameters.
11
Wu, Qihua, Feng Zhao, Junjie Wang, Xiaobin Liu, and Shunping Xiao. "Improved ISRJ-Based Radar Target Echo Cancellation Using Frequency Shifting Modulation." Electronics 8, no. 1 (2019): 46. http://dx.doi.org/10.3390/electronics8010046.
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Target echo cancellation is an ingenious method that protects the target of interest (TOI) from being detected by radar. Interrupted-sampling repeater jamming (ISRJ) is a novel deception jamming method for linear frequency modulation (LFM) radar countermeasures, which has been applied in target echo cancellation recently. Compared with the conventional cancellation method, not only can the target echo be successfully cancelled at radar receiver, but a train of false targets is also produced and forms deception jamming by applying the ISRJ technique. In this paper, an improved radar target echo cancellation method based on ISRJ is proposed that utilizes an extra frequency shifting modulation on the intercepted LFM radar signal. The jammer power is more efficiently utilized by the proposed method. Moreover, more flexible multi-false-target deception jamming can be obtained by adjusting the interrupted sampling frequency. The real target remains effectively protected by the false preceding target in the presence of amplitude mismatch of cancellation signal and target echo. Numerical simulations and measured data experiments are conducted to demonstrate the effectiveness of the proposed method.
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Su, Zheng-Lian, Xun-Lin Jiang, Ning Li, Hai-Feng Ling, and Yu-Jun Zheng. "Optimization of False Target Jamming against UAV Detection." Drones 6, no. 5 (2022): 114. http://dx.doi.org/10.3390/drones6050114.
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Unmanned aerial vehicles (UAVs) have been widely used for target detection in modern battlefields. From the viewpoint of the opponents, false target jamming is an effective approach to decrease the UAV detection ability or probability, but currently there are few research efforts devoted to this adversarial problem. This paper formulates an optimization problem of false target jamming based on a counterpart problem of UAV detection, where each false target jamming solution is evaluated according to its adversarial effects on a set of possible UAV detection solutions. To efficiently solve the problem, we propose an evolutionary framework, which is implemented with four popular evolutionary algorithms by designing/adapting their evolutionary operators for false target jamming solutions. Experimental results on 12 test instances with different search regions and numbers of UAVs and false targets demonstrate that the proposed approach can significantly reduce the UAV detection probability, and the water wave optimization (WWO) metaheuristic exhibits the best overall performance among the four evolutionary algorithms. To our knowledge, this is the first study on the optimization of false target jamming against UAV detection, and the proposed framework can be extended to more countermeasures against UAV operations.
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Liu, Gaogao, Wenbo Yang, Yuqian Bao, Youming Wang, and Peng Li. "Joint Communication and Jamming System Design Based on Filter Bank Multicarrier Chirp Waveform: Using for Curvilinear Flight Scenario." Remote Sensing 15, no. 5 (2023): 1239. http://dx.doi.org/10.3390/rs15051239.
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A joint communication jamming waveform is proposed in this study based on the FBMC- chirp. To increase the number of false targets in a single pulse period, the chirp signal is modulated to different subcarrier groups. Since the subcarriers of the FBMC-OQAM signal are orthogonal, the signals are naturally orthogonal. This allows the transmitter and receiver to be separated and achieve multiple false target jamming, allowing the CFAR threshold to be raised by about 20 dB and protecting the target from detection. The ratio of the frequency shift of the designed jamming signal to the frequency modulation depends on the delay time, making the joint signal more robust in response to jamming and resistant to frequency modulation. The use of intercepted radar signals allowed channel estimation, providing high-speed digital transmission while ensuring multi-false-target jamming. The simulation results show that the joint signal has jamming effects on the pulse Doppler radar. The proposed FBMC chirp joint waveform requires about 20dB less jamming signal ratio than the existing method, and thus the energy saved can ensure the robust performance of the communication subsystem in the joint communication jamming system. The proposed system has excelled in communication rate and bit error rate performance, ensuring that instructions are accurately and completely transmitted while implementing effective jamming.
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Hu, Yu, Ziyu Wang, Hang Chen, and Yuchuan Jiang. "Research on Radar Jamming for Detection Performance." Journal of Physics: Conference Series 2517, no. 1 (2023): 012015. http://dx.doi.org/10.1088/1742-6596/2517/1/012015.
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Abstract Radar jamming plays an important role in modern military affairs. The current radar jamming technology is mainly divided into two parts: suppressive jamming and deceptive jamming. This paper applies the jamming effect of multi-false target jamming in deceptive jamming and noise AM jamming, noise FM jamming, and noise PM jamming in suppressive jamming to the radar’s echo signal. Besides, this paper studies their influences from the aspect of target detection results through MTI and the influence of these jamming methods on the radar detection probability through CFAR. The experimental results can directly show the influence of interference measures on detection results and detection probability, and prove the effectiveness of these interference methods.
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Elgamel, Sherif A., and Mohamed Samir Abdel-Latif. "Synthetic Aperture Radar Active Decoy." Advances in Military Technology 17, no. 1 (2022): 47–62. http://dx.doi.org/10.3849/aimt.01520.
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Synthetic aperture radar (SAR) has been widely involved in military reconnaissance and detection of moving targets. SAR active decoy can generate deceptive jamming signal and it can severely affect the content of SAR focused image. SAR range Doppler algorithm (RDA) is considered as one of the most common algorithms utilized in the image formation processor (IFP) in SAR sensors. In this paper, the inverse RDA (IRDA) deception jamming technique and its evaluation criteria on SAR are demonstrated. Mathematical formulations for SAR RDA with and without deception jamming are presented. Matlab simulation and results of SAR RDA under the proposed deception scenario are discussed. SAR point target simulation of the proposed deceptive jamming and false target insertion into real large scene are also introduced. Comparison of the proposed deceptive jamming to signal power ratio (JSR) required to counter SAR with other SAR jamming techniques is analyzed.
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Zhu, Hai, Sinong Quan, Shiqi Xing, Haoyu Zhang, and Yun Ren. "Detection-Oriented Evaluation of SAR Dexterous Barrage Jamming Effectiveness." Remote Sensing 17, no. 6 (2025): 1101. https://doi.org/10.3390/rs17061101.
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The assessment of the jamming effect of Synthetic Aperture Radar (SAR) is the primary means to measure the reliability of the jamming, which can provide important guidance for the use of jamming strategies and patterns. This paper proposes a detection-oriented evaluation of the effect of SAR dexterous barrage jamming. Starting from the detection, it divides the evaluation process into two stages: (1) for the case in which the target can be detected under the jamming scenario, two feature parameters, namely, the target exposion area and target relative magnitude, are extracted; (2) for the case in which the target cannot be detected under the jamming scenario, another three feature parameters, namely, jamming relative magnitude, average edge brightness, and local information entropy, are extracted. On this basis, two hierarchical evaluation candidates, the target exposure degree and jamming concealment degree, respectively, are designed, and a comprehensive evaluation index of the dexterous suppression degree is finally proposed. Jamming experiments are carried out from real and simulated SAR data with different scenarios, and the results demonstrate that the proposed method effectively measures the barrage jamming effects of different jamming-to-signal ratios and patterns. More importantly, it quantifies the relationship between suppression degree and detection rate, wherein the detection rate decreases by about 35% to 45% for every 0.1 increase in the suppression degree.
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Chen, Hao, Rongfeng Li, Hui Chen, et al. "Monopulse Parameter Estimation for FDA-MIMO Radar under Mainlobe Deception Jamming." Remote Sensing 15, no. 16 (2023): 3947. http://dx.doi.org/10.3390/rs15163947.
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Multiple input multiple output with frequency diversity array (FDA-MIMO) radar has unique advantages in mainlobe deception jamming suppression and target location. However, if the training sample contains the target signal, it will lead to poor jamming suppression performance and large target measurement error. To deal with the problem, a method of coarse target location in the time domain is proposed based on the cumulative sampling analysis. Taking full advantages of the strongest correlation characteristic between the expected steering vector and the true target, the feature vector and feature value corresponding to the true target are found after feature decomposition. The time domain location of the target is roughly estimated during the cumulative sampling analysis from near to far. Then, a pure jamming training sample can be obtained by avoiding the location. Noise subspace projection algorithm is used to measure the angle and range of the target while suppressing mainlobe jamming. The simulation results show that the proposed method can roughly estimate the target location in the time domain when the mainlobe deception jamming completely covers the target. Compared with conventional methods, the performance of jamming suppression and target localization error are closer to the performance of ideal sampling.
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Atamanskyi, D. V., V. P. Riabukha, V. I. Vasylyshyn, A. V. Semeniaka, E. A. Katyushyn, and R. L. Stovba. "THE METHODS OF PROTECTION FROM THE PULSE DRFM JAMMING." Radio Electronics, Computer Science, Control, no. 3 (November 3, 2024): 6. https://doi.org/10.15588/1607-3274-2024-3-1.
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Context. The repeater reusable pulse jamming like DRFM (Digital Radio Frequency Memory) significantly complex the radar situation for radar with LFM probing signals. Besides of the marks from the existing targets the other marks are arising on the radar PPI-screen that simulate analogous to them false targets. The known methods of struggle with the repeater reusable pulse jamming like DRFM are inefficient that caused by specificity of the jamming. The synthesis of the methods of the struggle with such jamming is the actual problem Objective. The estimation of possibilities of the known methods of noise immunity for reduction of the negative influence of pulse jamming like DFRM on the processing of the useful signals and suggestion of the alternative method of LFM signal processing on the DFRM jamming background. Method. The efficiency of the methods is defined experimentally on the results of simulation and comparison of them with the known results presented in the literature The results. The inefficiency of the known methods of protection from repeater pulse jamming for reduction of the negative influence of DRFM jamming on the processing of the signal reflected from the target is justified. The character of negative influence of DRFM jamming on the processing of the signal reflected from the target is defined. These jammings can create as masking effect as imitate the marks from the non-existing targets. It is shown, that device with two-side amplitude limitation on the input of compression filter which traditionally used for suppression of repeater pulse jamming is inefficient for suppression of DRFMjamming. It is shown, that as compression filter for LFM signals with small base the filter matched with big base LFM signal can be used. However, these matched filters are not designed for LFM signal with small bases. The conditions of matched filtration of small base pulse LFM signals in the filters matched with big base signal are defined. The sufficient condition of the matched filtration of small base signal is coinciding of their phase frequency characteristic with corresponding area of the phase frequency characteristic of the big base signal. This fact explains the effect of forming of the maximums on the output of compression filter for pulsed of DRFM jamming and the effect of forming of false marks from targets It is shown that limitation of the level of signals before their processing in the compression filter remove the energetic advantage of lamming above useful signal, however, do not influences in the form of phase frequency characteristic of jamming. This detail of the amplitude limiter is the reason of ineffective processing of the useful signal on the background of DRFM jamming in the devices like amplitude limiter-compression filter. The method of suppression of repeater pulse jamming is proposed. The natural assumption about correspondence of powerful samples of the input mixture to jamming samples is on the base of this method In the case of digital processing this can be realised by nullifying the samples which are above the defined level of limiter. It is shown that processing devices, which uses such limitation, provides the effective processing of the useful signal on the background of DRFM jamming. Conclusions. The scientific novelty of the obtained results is in the further development of practice of noise immunity of the radar with LFM probing signal, specifically the device that detects the reflected signal on the background of the repeater pulse jamming is proposed. The practice of matched filtration of complex signals obtains the further development, namely, the conditions of matched filtration of LFM signals with small base in the filters matched with the signals with big bases are determined. The sufficient condition is the coincidence of phase frequency spectrum of the small base signal with corresponding area of phase frequency spectrum of the big base signal. The practical importance of investigation is that the processing device is proposed. This device provides the value of correct detection of the signal reflected from the target approximately twice as much to the known processing devices in the most cases.
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Liu, Ying-Xi, Qun Zhang, Shi-Chao Xiong, Jia-Cheng Ni, Dan Wang, and Hao-Bo Wang. "An ISAR Shape Deception Jamming Method Based on Template Multiplication and Time Delay." Remote Sensing 15, no. 11 (2023): 2762. http://dx.doi.org/10.3390/rs15112762.
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The deception jamming method based on Digital Radio Frequency Memory (DRFM) for Inverse Synthetic Aperture Radar (ISAR) has been a widely studied topic in recent decades. Typically, jamming signals generated using two-dimensional or three-dimensional false target models can create realistic false targets on the ISAR image. However, existing deception jamming methods cannot eliminate or revise the original echo, which can be retained by multiple anti-jamming methods once the radar judges out receiving the jamming signal. Additionally, these methods require large storage space for the models. Otherwise, the false targets cannot be generated realistically. To address these issues, this paper proposes a jamming signal generation algorithm based on two-dimensional template multiplication modulation and template time delay. The frequency shift and time delay relationship between the signals intercepted by the jammer and the real target echo is analyzed and derived in detail. With the use of these detailed derivations, it is possible to add and remove scatters by precisely locating the false scatter on the real ISAR image. The real target’s shape naturally changes as a result of the addition and removal of scatters. Furthermore, this method can adaptively change the resolution of the false target’s ISAR image with the radar pulse width and the accumulated pulse number. Meanwhile, the false target size on the ISAR image can be adjusted adaptively by altering the false template resolution. These features of the proposed method offer increased flexibility and efficiency for deception jamming. By accurately determining the position of false scatter on the ISAR image, this method offers improved performance compared with the existing techniques. Simulation results demonstrate the effectiveness of the proposed deception jamming method.
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Wang, Fa Long, Shi Jun Rao, Ning Jiang, and Dong Wang. "Research on Jamming Resource Scheduling Based on Multi-Target and Fuzzy Multi-Stage." Applied Mechanics and Materials 721 (December 2014): 500–504. http://dx.doi.org/10.4028/www.scientific.net/amm.721.500.
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For radar and electronic warfare integrated system, resource scheduling play a big role in operational effectiveness. At first, introduced the composition and technical performance advantage of radar and electronic warfare integrated system. According to radar jamming equation, the characteristics of array, combined with jamming time-window, jamming efficiency ratio, jamming satisfaction, established multi-target fuzzy multi-stage jamming resource scheduling model with time-window, through the simulation, proved the scientificity and rationality of the method.
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Qiu, Yongjia, Hua Yang, Dapeng Zhao, Zhengdong Cheng, Bin Zhu, and Qinyu Zhang. "Background-independent evaluation model for infrared jamming effectiveness of false targets." AIP Advances 12, no. 11 (2022): 115102. http://dx.doi.org/10.1063/5.0120469.
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Given the lack of a standardized evaluation system for the infrared jamming effectiveness of false targets, this paper first uses a co-saliency detection model to extract the main parts of the true and false targets. Then the perceptual similarity algorithm is improved by combining the operational requirements of false targets in the infrared band. Finally, a background-independent evaluation model for infrared jamming effectiveness of false targets is constructed. The experimental results show that the model can quantitatively reflect the infrared jamming effectiveness of a single false target and distinguish the infrared jamming effectiveness of different types of false targets. In addition, the model has stronger robustness than traditional evaluation models.
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Qi, Jianchi, Shengyong Li, Jian Chen, and Hongke Li. "Optimization Method of Interrupted Sampling Frequency Shift Repeater Jamming Based on Group Teaching Optimization Algorithm." Electronics 13, no. 13 (2024): 2622. http://dx.doi.org/10.3390/electronics13132622.
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Distributed interrupted sampling repeater jamming (D-ISRJ) is the application of interrupted sampling repeater jamming technology within the framework of distributed jamming systems. It can generate coherent false targets after passing through the target radar’s matched filter, but these false targets exhibit strong regularity in range and amplitude. Addressing this issue, a distributed interrupted sampling frequency-shifted repeater jamming method based on the group teaching optimization algorithm (GTOA) is proposed in this paper. By introducing frequency-shifted modulation during the retransmission of the jamming signal, the frequency shift amount of the jamming unit in each round of repeater jamming is used as an optimization variable to construct an optimization model for distributed interrupted sampling frequency-shifted repeater jamming. The parameters are then solved by using GTOA. Simulations are conducted to analyze the jamming effects under different distributed jamming modes, and the proposed optimization algorithm is compared to common swarm intelligence algorithms in the same optimization model. The method proposed in this paper can be used in the field of precision electronic warfare to improve the jamming effect of synthetic aperture radar. Experimental results show that under the given simulation conditions, the jamming signal generated by the proposed method can achieve better jamming effects.
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Wang, Yanqi, Chao Wang, Qingzhan Shi, Jingjian Huang, and Naichang Yuan. "Advancing Stepped-Waveform Radar Jamming Techniques for Robust False-Target Generation against LFM-CFAR Systems." Sensors 23, no. 18 (2023): 7782. http://dx.doi.org/10.3390/s23187782.
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This study investigates the utilization of a stepped wave frequency modulation jamming technique in radar systems. The objective is to enhance the effectiveness and robustness of false target jamming in the presence of linear frequency modulation (LFM) radars employing constant false alarm rate (CFAR) detection. The proposed method combines stepped frequency modulation with full pulse delay/sum repeat jamming to enhance resilience against uncertainties in target parameters. Theoretical analysis and simulation experiments are conducted to establish relationships between key jammer parameters, such as frequency slope and power compensation, and performance metrics, like false target distribution and CFAR masking. The results demonstrate that the proposed technique effectively maintains a dense distribution of false targets surrounding the protected target, even in the presence of uncertainties in position and signal-to-noise ratio. In comparison to existing methods, the utilization of stepped-waveform modulation enables improved control over target distribution and CFAR masking. Adaptive power allocation compensates for parameter errors, thereby enhancing robustness. Simulation results reveal that the proposed approach significantly reduces the probability of detecting the true target by over 95% under uncertain conditions, while previous methods experienced degradation. The integration of stepped waveforms optimizes false target jamming, thereby advancing electronic warfare capabilities in countering advanced radar threats. This study establishes design principles for resilient jamming architectures and supports enhanced survivability against radars employing pulse compression and CFAR detection. Moreover, the concepts proposed in this study have the potential for extension to emerging radar waveforms.
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Gao, Jing, Rihan Wu, and Jinde Zhang. "An Adaptive Multi-Target Jamming Waveform Design Based on Power Minimization." Entropy 22, no. 5 (2020): 508. http://dx.doi.org/10.3390/e22050508.
Full textAbstract:
With increasing complexity of electronic warfare environments, smart jammers are beginning to play an important role. This study investigates a method of power minimization-based jamming waveform design in the presence of multiple targets, in which the performance of a radar system can be degraded according to the jammers’ different tasks. By establishing an optimization model, the power consumption of the designed jamming spectrum is minimized. The jamming spectrum with power control is constrained by a specified signal-to-interference-plus-noise ratio (SINR) or mutual information (MI) requirement. Considering that precise characterizations of the radar-transmitted spectrum are rare in practice, a single-robust jamming waveform design method is proposed. Furthermore, recognizing that the ground jammer is not integrated with the target, a double-robust jamming waveform design method is studied. Simulation results show that power minimization-based single-robust jamming spectra can maximize the power-saving performance of smart jammers in the local worst-case scenario. Moreover, double-robust jamming spectra can minimize the power consumption in the global worst-case scenario and provide useful guidance for the waveform design of ground jammers.
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Chen, Xiaozhou, Mengzhong Hu, and Shu Lu. "Modelling and Analysis of Constant False Alarm Rate Performance in Presence of Jamming Environments." Mathematical Problems in Engineering 2022 (January 31, 2022): 1–11. http://dx.doi.org/10.1155/2022/3780252.
Full textAbstract:
A novel “Bernoulli experiment model” of constant false alarm rate (CFAR) is presented in order to analyze CFAR performance in jamming condition. In this model, target detection can be treated as a sequence of independent subevents, and the detection process equals to pick up target energy from an energy pool diluted with noise, interference, and jamming pulses. In a multiple-jammer case, each jammer contributes independently, and the content of the energy pool only relates to the corresponding jammer. Impacts of jammer factors, such as signal-to-interference ratio (SIR), jamming-to-interference ratio (JIR), the number of false targets in reference cells, and the number of false targets in a cell under test (CUT), are analyzed and compared in detail, and two jamming operation principles are deduced as an application. The deduction procedure and conclusions drawn from the model can also be utilized on similar occasions.
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Tang, Zheng-Zhao, Yang-Yang Dong, Chun-Xi Dong, Xin Chang, and Guo-Qing Zhao. "A Deception Jamming Method Countering Bi- and Multistatic ISAR Based on Micro-Doppler Effect." Mathematical Problems in Engineering 2018 (September 18, 2018): 1–6. http://dx.doi.org/10.1155/2018/3689382.
Full textAbstract:
Bi- and multistatic inverse synthetic aperture radar (ISAR) operate with spatially separated transmitting and receiving antennas. A deception jamming method countering bi- and multistatic ISAR is proposed in this paper based on the study of micro-Doppler effect. The jammer modulates the intercepted ISAR signals with added micro-Doppler information and retransmits them to the real target, which scatters the jamming signals to the radar receivers. Deceptive false-target images with interference bands in the cross-range direction will be induced by the jamming signals through the imaging process of radar receivers. Additionally, real-time movement features of the false-targets can be flexibly adjusted by changing the modulation parameters, which improves the fidelity of the false-targets. The equivalent number of looks (ENL) index is used to evaluate the jamming effects. Simulation results validate our theoretical analysis and show the effectiveness and practicability of our method.
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Zhang, Haoyu, Sinong Quan, Shiqi Xing, Junpeng Wang, Yongzhen Li, and Ping Wang. "Shadow-Based False Target Identification for SAR Images." Remote Sensing 15, no. 21 (2023): 5259. http://dx.doi.org/10.3390/rs15215259.
Full textAbstract:
In radar electronic countermeasures, as the difference between jamming and targets continues to decrease, traditional methods that are implemented based on classical features are currently unable to meet the requirements of jamming detection. Compared with classical features such as texture, scale, and shape, shadow has better discernability and separability. In this paper, target shadow is investigated and applied to detect jamming in Synthetic Aperture Radar (SAR) images, and a SAR false target identification method based on shadow features is proposed. First, a difference image is generated by change detection, which can extract the shadow region in single-time SAR images. Then, a three-step differentiation condition is proposed, which can distinguish false targets from real targets. Simulated experimental results show that the proposed method can effectively extract the shadow region in SAR images and accurately distinguishreal and false targets. Furthermore, the potential of shadow in SAR image interpretation and electronic countermeasures is also demonstrated.
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Zhu, Yongzhe, Zhaojian Zhang, Xiaoge Wang, Binbin Li, Weijian Liu, and Hao Chen. "A Method for Suppressing False Target Jamming with Non-Uniform Stepped-Frequency Radar." Electronics 12, no. 11 (2023): 2534. http://dx.doi.org/10.3390/electronics12112534.
Full textAbstract:
Stepped-frequency radar can increase the degree of freedom of the range dimension by adding a tiny stepping frequency between neighboring pulse carrier frequencies, which has a clear advantage in countering range false target jamming. However, when the jamming is released by a self-defense jammer carried by the target, the range information is coupled to the Doppler frequency. This makes it impossible for a stepped-frequency radar to extract the range information accurately. In this paper, we derive the correlation between the phase difference of adjacent pulses and range information and the Doppler frequency when the frequency is uniformly stepped, as well as the error caused by the Doppler frequency in range estimation. Then, we propose a decoupling method based on a waveform design and the corresponding suppression method of range false target jamming. Simulation results show that the proposed method can effectively suppress the jamming of self-defense range false targets.
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Wang, Liyuan, Huafeng He, Zhen Li, Buma Xiao, and Tao Zhou. "Mainlobe Jamming Suppression via Joint Polarization-Range-Doppler Processing." Remote Sensing 17, no. 12 (2025): 1995. https://doi.org/10.3390/rs17121995.
Full textAbstract:
In the field of electromagnetic countermeasures, suppressing mainlobe jamming represents a critical challenge requiring urgent resolution. Conventional polarization-based anti-jamming techniques, which fundamentally rely on obtaining pure jamming signals for prior parameter estimation, demonstrate limited effectiveness against co-frequency mainlobe suppression jamming. To tackle this problem, this paper proposes an innovative joint polarization-range-Doppler processing framework for airborne dual-polarized radar systems. Initially, we develop a polarized eigen-element surrogate technique to accurately estimate jamming polarization parameters, which demonstrates robust performance even under low jamming-to-signal ratio conditions. Subsequently, through Doppler compensation and range processing, we establish a combined feature projection method capable of reliably estimating target polarization from mixed signals containing target echoes, jamming, and noise. Then, leveraging the obtained polarization information, we construct an optimal target polarization projection filter. To comprehensively evaluate system performance, we introduce the novel metric of signal loss ratio, enabling rigorous analysis of the filter’s operational boundaries from dual perspectives: jamming suppression capability and target signal preservation. Extensive simulations across six distinct operational scenarios conclusively demonstrate the method’s superior performance, confirming its significant potential for practical implementation in engineering applications.
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Ji, Yunhao, Shan Wei, and Yaobing Lu. "Robust Mainlobe Dense False Target Jamming Identification Based on 2D Sparse Recovery." Advances in Engineering Technology Research 10, no. 1 (2024): 199. http://dx.doi.org/10.56028/aetr.10.1.199.2024.
Full textAbstract:
Mainlobe dense false target jamming has brought great challenges to current radar detection due to its multi-dimensional flexible modulation capability. To this end, many effective solutions have been proposed in recent years. However, the performance of most existing methods will be largely affected in strong noise environment. In actual scenarios, strong noise environments are unavoidable. To solve this problem, this paper proposes a mainlobe dense false target jamming identification method for strong noise environments based on two-dimensional (2D) sparse recovery. First, the angle and time-delay parameters of the pulse are extracted by 2D sparse recovery. Then, the jamming identification is completed using the space-time joint feature difference within a single pulse repetition interval (PRI). On this basis, we also provide a jamming reconstruction and cancellation scheme for strong jamming environments. Compared with existing methods, the proposed method achieves accurate identification and suppression of jamming within a single PRI by effectively utilizing the spatial information of the source. It exhibits excellent robustness to strong noise and jamming environments. Additionally, it has the advantage of significantly reducing computational costs, thereby increasing overall efficiency and practicality. Numerical simulation experiment results verify the effectiveness of the proposed method.
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Liu, Gaogao, Ziyu Huang, Haoran Pan, Qidong Zhang, and Jiangbo Zhu. "Broadband SAR Imaging Based on Narrowband Dense False Target Jamming." Remote Sensing 17, no. 7 (2025): 1196. https://doi.org/10.3390/rs17071196.
Full textAbstract:
To meet the multi-device integration requirements faced by electronic warfare systems in the current environment and to address the problem of conventional jamming-based imaging algorithms being unable to achieve a high range resolution under narrowband conditions, this paper proposes a broadband high-resolution synthetic aperture radar (SAR) imaging method based on narrowband dense false target jamming signals (DFTJSs). The characteristic of this signal is its ability to modulate large bandwidth phase information for each narrowband false target jamming signal (FTJS) so that the echo of the entire jamming signal has a secondary compression characteristic in the distance direction without affecting its jamming ability, thereby eliminating the influence of the first compression distance blur and obtaining a high resolution of the large bandwidth signal. Theoretical analysis and numerical simulations indicate that narrowband DFTJSs using phase modulation can achieve high-resolution imaging of specific target areas while causing interference to non-cooperative radar (NCR).
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Wan, Fuhai, Jingwei Xu, and Zhenrong Zhang. "Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming." Sensors 22, no. 4 (2022): 1479. http://dx.doi.org/10.3390/s22041479.
Full textAbstract:
Frequency diverse array (FDA)-multiple-input multiple-output (MIMO) radars can generate a range-angle two-dimensional transmit steering vector (SV), which is capable of suppressing mainbeam deceptive jamming in the transmit–receive frequency domain by utilizing additional degrees of freedom (DOFs) in the range dimension. However, when there are target SV mismatch, covariance matrix estimation error and target contamination, the jamming suppression performance degrades severely. In this paper, a robust adaptive beamforming algorithm for anti-jammer application based on covariance matrix reconstruction is proposed in FDA-MIMO radar. In this method, the residual noise is further determined by using the spatial power spectrum estimation approach, which results in improved estimation accuracy of the signal covariance matrix and the desired target SV. The jamming SV is obtained from vectors in the intersection of two subspaces (namely, the signal-jamming subspace derived from the sample covariance matrix (SCM) and the jamming subspace generated from the jamming covariance matrix) by an alternating projection algorithm. Furthermore, the jamming power is obtained by exploiting the orthogonality between the different SVs. With the obtained parameters of target and jamming, the optimal adaptive beamformer weight vector is calculated. Simulation results demonstrate that the proposed algorithm can cope with the mainbeam deceptive jamming suppression under various model mismatches and has excellent performance over a wide range of signal-to-noise ratios (SNRs).
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Xiao, Jie, Xizhang Wei, and Jia Sun. "Research on Interrupted Sampling Repeater Jamming Performance Based on Joint Frequency Shift/Phase Modulation." Sensors 23, no. 5 (2023): 2812. http://dx.doi.org/10.3390/s23052812.
Full textAbstract:
Interrupted sampling repeater jamming (ISRJ) is a classic active coherent jamming. Due to its structural limitations, it has inherent defects such as a discontinuous time–frequency (TF) distribution, strong distribution regularity of pulse compression results, limited jamming amplitude, and strong false targets lagging behind the real target. These defects have not been fully resolved yet due to the limitation of the theoretical analysis system. Based on the analysis of the influence factors of ISRJ on the interference performance for linear-frequency-modulated (LFM) and phase-coded signals, this paper proposes an improved ISRJ method based on the joint subsection frequency shift and two-phase modulation. The coherent superposition of jamming signals at different positions for LFM signals is achieved by controlling the frequency shift matrix and the phase modulation parameters to form a strong pre-lead false target or multiple positions and ranges of blanket jamming areas. For the phase-coded signal, the pre-lead false targets are generated through code prediction and the two-phase modulation of the code sequence, resulting in similar noise interference. The simulation results show that this method can overcome the inherent defects of ISRJ.
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Feng, Qingqing, Huaping Xu, Zhefeng Wu, and Wei Liu. "Deceptive Jamming Detection for SAR Based on Cross-Track Interferometry." Sensors 18, no. 7 (2018): 2265. http://dx.doi.org/10.3390/s18072265.
Full textAbstract:
Deceptive jamming against synthetic aperture radar (SAR) can create false targets or deceptive scenes in the image effectively. Based on the difference in interferometric phase between the target and deceptive jamming signals, a novel method for detecting deceptive jamming using cross-track interferometry is proposed, where the echoes with deceptive jamming are received by two SAR antennas simultaneously and the false targets are identified through SAR interferometry. Since the derived false phase is close to a constant in interferogram, it is extracted through phase filtering and frequency detection. Finally, the false targets in the SAR image are obtained according to the detected false part in the interferogram. The effectiveness of the proposed method is validated by simulation results based on the TanDEM-X system.
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Zhao, Shanshan, Minju Yi, and Ziwei Liu. "Cooperative Anti-Deception Jamming in a Distributed Multiple-Radar System under Registration Errors." Sensors 22, no. 19 (2022): 7216. http://dx.doi.org/10.3390/s22197216.
Full textAbstract:
A distributed multiple-radar system has natural advantages in anti-deception jamming. However, most of the anti-jamming methods are proposed in full spatial registration. In practice, the registration error is difficult to eliminate, which will seriously degrade the performance of cooperative anti-jamming. Therefore, it is of great significance to consider the problem of cooperative anti-deception jamming under registration error. In this paper, the cooperative anti-deception jamming method is proposed in a distributed multiple-radar system under registration errors. On the premise of the known registration error, target received signal vectors are estimated from an uncertainty region in each channel by maximum likelihood (ML) algorithm. With the estimated received signal vectors, a target discrimination algorithm is introduced based on the difference in target spatial scattering characteristics, which calculate the correlation coefficient between different target received signal vectors and discriminate a false target with a designed threshold. Furthermore, since the registration error depends on the radar site errors, theoretical derivation for the registration error is given as a function of the transmitter and receiver site errors. Finally, simulation results verify the feasibility of the proposed discrimination method, and its performance due to the influence of the jamming-to-noise ratio (JNR), the registration error, the target size, and the discrimination threshold are considered.
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Zhang, Qiang, and Weijun Pan. "Countering method for active jamming based on dual-polarization radar seeker." International Journal of Microwave and Wireless Technologies 9, no. 5 (2016): 1067–73. http://dx.doi.org/10.1017/s175907871600132x.
Full textAbstract:
In order to counter active jamming, an adaptive polarization cancellation method based on dual-polarization radar is proposed in the paper. First, respectively being obtained by vertical and horizontal polarization channels of dual-polarization radar, the signals from the real target and active jamming are analyzed in composition and characteristic. Then, the weight coefficient is timely derived in practical scene to adjust difference of amplitude and phase of active jamming signals respectively acquired by the two orthogonal polarization channels, so the method can completely eliminate active jamming, but just a little power change for the real target signal. Furthermore, a compensating method for the target signal is developed to improve the angle measuring accuracy of monopulse radars. And the influence factors of adaptive polarization cancellation are analyzed in detail by simulation. Finally, the experimental results prove that it is very effective on both active blanket jamming and active deception jamming.
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Lan, Xuegang, Tao Wan, Kaili Jiang, Ying Xiong, and Bin Tang. "Intelligent Recognition of Chirp Radar Deceptive Jamming Based on Multi-Pulse Information Fusion." Sensors 21, no. 8 (2021): 2693. http://dx.doi.org/10.3390/s21082693.
Full textAbstract:
The perception of jamming types is very important for protecting our radar in complex electromagnetic environments. Radar active deceptive jamming based on digital radio frequency memory (DRFM) has a high coherence with the target echo, which confuses the information of the target echo and achieves the effect of hiding the real target. Traditional deceptive jamming recognition methods need to extract complex features and artificially set classification thresholds, which is inefficient. The existing neural network-based jamming identification methods still follow the pattern of signal modulation-type identification, so there are fewer types of jamming that can be identified, and the identification accuracy is low in the case of low jamming-to-noise ratios (JNR). This paper studies the input of jamming recognition networks and proposes an improved intelligent identification method for chirp radar deceptive jamming. This method fuses three short-time Fourier transform time–frequency graphs disturbed by three consecutive pulse periods into a new graph as the input of the convolutional neural network (CNN). Using a CNN to classify the time–frequency image has realized the recognition of a variety of common deceptive jamming techniques. Similarly, by changing the network input, the original signal is used to replace the echo signal, which improves the accuracy of the jamming recognition in the case of a low JNR.
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Zhang, Linbo, Xiuting Zou, Shaofu Xu, et al. "CNN-Assisted Effective Radar Active Jamming Suppression in Ultra-Low Signal-to-Jamming Ratio Conditions Using Bandwidth Enhancement." Electronics 14, no. 11 (2025): 2296. https://doi.org/10.3390/electronics14112296.
Full textAbstract:
In complex scenarios, radar echoes are contaminated by strong jamming, which significantly degrades their detection. Target detection under ultra-low signal-to-jamming ratio (SJR) conditions has thus become a major challenge when confronted with active jamming represented by smeared spectrum (SMSP) noise. Traditional jamming suppression methods are often limited by model dependency and useful signal loss. Convolutional neural networks (CNNs) have gained significant attention as an effective method for jamming suppression. However, in an ultra-low SJR environment, CNNs would have difficulty in carrying out jamming suppression, resulting in poor signal quality. In this study, we utilize a bandwidth enhancement method to allow CNNs to perform effective radar active jamming suppression in ultra-low SJR environments. Specifically, the bandwidth enhancement method reduces the correlation between target and jamming signals, which yields higher-quality target range profiles. Consequently, a modified CNN featuring a dense connection module can effectively suppress jamming even in ultra-low SJR scenarios. The experimental results show that when the input SJR is −30 dB and the bandwidth is 1.2 GHz, the output SJR reaches 13.25 dB. Meanwhile, the improvement factor (IF) gradually increases and reaches saturation at ~15 dB. Building on the bandwidth enhancement method, the modified CNN further improves the IF by ~27 dB. This work is expected to offer a new technical pathway for suppressing radar active jamming in ultra-low SJR scenarios.
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Wan, Pengfei, Guisheng Liao, Jingwei Xu, and Guimei Zheng. "Two-Dimensional Transceiver Beamforming for Mainlobe Jamming Suppression with FDA-MIMO Radar." Mathematical Problems in Engineering 2022 (July 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/1265658.
Full textAbstract:
With the rapid development of electronic warfare technology, the airborne electronic counter measures (ECM) system can generate mainlobe jamming using range gate pull-off (RGPO) strategy, which brings serious performance degradation of target tracking for the tracking and guidance radar. In this study, a two-dimensional transceiver beamforming approach is proposed to suppress the mainlobe jamming with frequency diverse array using multiple-input multiple-output (FDA-MIMO) radar. The mainlobe jamming signal differs from the real target echo in the joint transmit and receive domain due to the range dependence of FDA beampattern. The amplitude of RGPO signal is greater than the amplitude of real target echo. Thus, the transceiver beampattern can be designed to null out the jamming while maintaining the real target. The jamming suppression performance is studied in consideration of practical range constraint of RGPO. Simulation results are provided to verify the effectiveness of the proposed approach.
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Zhao, Ying Jun, Rong Feng Li, Yong Liang Wang, and Wei Jian Liu. "Angle Measurement for Meter-Wave Radar Based on Mainlobe Multipath Jamming Suppression." Applied Mechanics and Materials 347-350 (August 2013): 257–62. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.257.
Full textAbstract:
When detecting low-attitude targets, the angular accuracy of the meter-wave radar will descend because of the multipath reflecting from ground. Since the multipath signal can be regarded as a multipath jamming coming from the mainlobe, we propose an angle measurement based on the mainlobe multipath jamming suppression. The weight of the new approach is obtained through certain constraints on the sum-difference beams, which can suppress the jamming and keep the curve of the monopulse ratio unchanged. Then form sum-difference beams and calculate the ratio of the monopulse ratio of the target. Finally, obtain the angle of the target through the determination of the smallest difference between the monopulse ratio of the target and the quiescent monopulse ratio. The method proposed in this paper can preserve good precision of the measurement angle. The result is verified by computer simulation.
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Sun, Dianxing, Ao Li, Hao Ding, and Jifeng Wei. "Detection of DRFM Deception Jamming Based on Diagonal Integral Bispectrum." Remote Sensing 17, no. 11 (2025): 1957. https://doi.org/10.3390/rs17111957.
Full textAbstract:
The transponder-style deception jamming implemented by Digital Radio Frequency Memory (DRFM) exhibits high similarity to real target radar echoes, while traditional detection methods suffer severe performance degradation under low signal-to-noise ratio (SNR) conditions. To address this issue, this paper proposes a DRFM active deception jamming detection method based on diagonal integral bispectrum, aiming to overcome the bottleneck of jamming detection under low-SNR conditions. By establishing a harmonic effect signal model for DRFM deception jamming, the cross-term generation mechanism in the bispectrum domain is revealed: the jamming signal generates dense cross-terms due to harmonic distortion, whereas the real target energy exhibits single-peak aggregation. To quantify this difference, the Diagonal Integral Bispectrum Relative Peak Height (DIBRP) is proposed to characterize the energy aggregation of true and false targets in the diagonal integral bispectrum, and the Diagonal Integral Bispectrum Approximate Entropy (DIBAE) is introduced to describe their complexity. A joint detection framework combining the DIBRP-DIBAE dual-feature space and a polynomial kernel support vector machine (SVM) is constructed to achieve active deception jamming detection. The proposed method demonstrates excellent performance under low-SNR conditions. Simulations and experimental results show that the correct detection rate reaches 92% at a jamming-to-signal ratio (JSR) and SNR of 0 dB, validating the effectiveness of the algorithm.
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Huan, Dai, Luo, and Ai. "Bayesian Compress Sensing Based Countermeasure Scheme Against the Interrupted Sampling Repeater Jamming." Sensors 19, no. 15 (2019): 3279. http://dx.doi.org/10.3390/s19153279.
Full textAbstract:
The interrupted sampling repeater jamming (ISRJ) is considered an efficient deception method of jamming for coherent radar detection. However, current countermeasure methods against ISRJ interference may fail in detecting weak echoes, particularly when the transmitting power of the jammer is relatively high. In this paper, we propose a novel countermeasure scheme against ISRJ based on Bayesian compress sensing (BCS), where stable target signal can be reconstructed over a relatively large range of signal-to-noise ratio (SNR) for both single target and multi-target scenarios. By deriving the ISRJ jamming strategy, only the unjammed discontinuous time segments are extracted to build a sparse target model for the reconstruction algorithm. An efficient alternate iteration is applied to optimize and solve the maximum a posteriori estimate (MAP) of the sparse targets model. Simulation results demonstrate the robustness of the proposed scheme with low SNR or large jammer ratio. Moreover, when compared with traditional FFT or greedy sparsity adaptive matching pursuit algorithm (SAMP), the proposed algorithm significantly improves on the aspects of both the grating lobe level and target detection/false detection probability.
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Jun, Zhao Ying, Li Rong Feng, Wang Yong Liang, and Liu Wei Jian. "Adaptive Monopulse Angle Measurement for Meter-Wave Radar Based on Differential Constraints Technique." Advanced Materials Research 846-847 (November 2013): 812–17. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.812.
Full textAbstract:
When detecting low-attitude targets, the angular accuracy of the meter-wave radar will descend because of the multipath reflecting from ground. Since multipath signals can be regarded as multipath jamming coming from the mainlobe, we propose an angle measurement based on the mainlobe multipath jamming suppression through differential constraints technique. The weight of the new approach is obtained through certain constraints on the sum-difference beams, which can suppress the jamming and keep the curve of the monopulse ratio unchanged simultaneously. Then form sum-difference beams and calculate the ratio of the monopulse ratio of the target. Finally, obtain the angle of the target through the determination of the smallest difference between the monopulse ratio of the target and the quiescent monopulse ratio. The method proposed in this paper can preserve good precision of the measurement angle. The result is verified by computer simulation.
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Zhao, Yongjie, Zhen Zuo, Zhiping Huang, et al. "Estimation of Equivalent Transmitted Power of Sparse Array Based on Unmanned Aerial Vehicles in Collaborative Jamming." Drones 9, no. 4 (2025): 242. https://doi.org/10.3390/drones9040242.
Full textAbstract:
Unmanned Aerial Vehicles (UAVs) are widely used in defense applications. Multiple UAVs equipped with jamming sources can form a sparse array. The sparse array can be quickly deployed and achieve an extensive range of effective jamming. At present, the jamming power in the target area is mainly calculated through the superposition of node waveforms. The algorithm needs to sequentially calculate the angle of the target position relative to each node to obtain the corresponding gain and then calculate the path loss by the transmission model to obtain the total jamming power, which has high algorithmic complexity and needs to recount the power every time after adjusting the position of the node. An equivalent transmitted power estimation algorithm based on the pattern multiplication theorem is proposed in this paper, which regards the sparse array as a whole directional jammer. The power in the target area can be estimated according to the jammer gain, the equivalent transmitted power, and the jamming distance. In the calculation of jamming power, the proposed array-based algorithm reduces the complexity by 50% compared with the waveform superposition algorithm, and the estimation variance of the jamming power is less than 1.4%.
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Wei, Dongxu, Shuning Zhang, Si Chen, Huichang Zhao, and Linzhi Zhu. "Research on deception jamming of chaotic composite short-range detection system based on bispectral analysis and genetic algorithm–back propagation." International Journal of Distributed Sensor Networks 15, no. 5 (2019): 155014771984744. http://dx.doi.org/10.1177/1550147719847444.
Full textAbstract:
The chaotic compound short-range detection system is a new type of short-range detection system, which has strong anti-jamming ability. However, for the deception jamming, the characteristics of the complex short-range detection system are very similar to the detection echo, which poses a serious threat to the detection system. In order to analyze and extract the different characteristics between deceptive jamming and target echo signal, so as to realize the anti-deceptive jamming of chaotic compound short-range detection system, this article analyzes and simulates the mathematical model of deceptive jamming and target echo, and analyzes the bispectral characteristics of the simulated echo and jamming signal, and a set of anti-deception jamming feature parameters has been constructed. The identification of deceptive interference is realized by genetic algorithm–back propagation neural network, and the recognition accuracy is high and the real-time performance is good.
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Cui, Rui, Ai Guo Sheng, Ji Fei Pan, Bing He, and Jing Zhu. "Research on Jamming Method of False Target Based on Micro-Motion Modulation." Applied Mechanics and Materials 556-562 (May 2014): 2707–10. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2707.
Full textAbstract:
Micro-Doppler is a unique feature of radar target, and has been applied to target recognition of ISAR widely, but it can also destroy the quality of the target image at the same time. So a novel jamming method of false target base on Micro-Doppler modulation is presented in the paper. The phase of captured radar transmitting signal is been modulated, which can generate false Micro-Doppler features. The micro-Doppler imaging model of the rotating target is analyzed, and the jamming model based on Micro-Motion modulation is given. Finally, the simulation of jamming experiment is carried out. The results of simulation prove the method is corrective and effective.
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Chang, Xin, Chunxi Dong, Gao Weichen, and Yan Zhao. "An Interrupted Sampling Scattered Wave Deception Jamming Method against Three-Channel SAR GMTI." Mathematical Problems in Engineering 2020 (July 27, 2020): 1–13. http://dx.doi.org/10.1155/2020/1760573.
Full textAbstract:
An important problem is how to generate false moving targets, whose relocated azimuth position is similar to that of real moving targets. To solve this problem, an interrupted sampling scattered wave deception jamming method against three-channel synthetic aperture radar ground moving target indication (SAR GMTI) is proposed. A stationary jammer uses a controllable jammer antenna to generate verisimilar moving targets by controlling velocity and initial position of jammer beam footprint. The antenna sampled moves along the different tracks. For each track, the slant history of jamming signal is changed varying with different pulse recurrence intervals (PRI), and the movement of the footprint will introduce a Doppler frequency in jamming the signal. By analyzing parameters’ difference between echoes and jamming signal, the velocity and the initial position of the footprint will be calculated, and then the verisimilar false targets are generated. The effectiveness of the method is verified by simulation experiments.
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Zhan, Haihong, Tao Wang, Tai Guo, and Xingde Su. "An Anti-Intermittent Sampling Jamming Technique Utilizing the OTSU Algorithm of Random Orthogonal Sub-Pulses." Remote Sensing 15, no. 12 (2023): 3080. http://dx.doi.org/10.3390/rs15123080.
Full textAbstract:
The utilization of intermittent sampling jamming can engender a lofty verisimilitude false target cluster that exhibits coherence with the transmitted signal. Such an assemblage bears the hallmarks of both suppression jamming and deceitful jamming, capable of inflicting substantial impairment upon the radar, potentially leading to its profound incapacitation. Henceforth, the precise discernment of the target and various forms of intermittent sampling jamming emerges as a novel endeavor. In response to this predicament, this paper posits a pulsed radar waveform featuring intra-pulse random orthogonal frequency modulation (FM) and inter-pulse phase coherence. This innovative approach not only presents formidable challenges for the jammer in acquiring radar waveform parameters, but also bolsters the radar’s low probability of intercept (LPI), while maintaining the phase coherence of sub-pulses between pulses. Furthermore, based on this waveform, the characteristics of the intermittent sampling jamming signal and its differences from the target echo signal are analyzed in the time domain, frequency domain, time-frequency domain, and pulse compression domain. Building upon these findings, this paper proposes the sub-division algorithms for typical types of intermittent sampling jamming under this waveform: the full-pulses multi-level maximum inter-class variance and sub-pulses multi-level maximum inter-class variance anti-intermittent sampling jamming algorithms. Simulation analysis demonstrates that this waveform and the anti-jamming algorithms can accurately identify and effectively counteract different types of intermittent sampling jamming in typical scenarios.
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Wang, Yuanhang, Yi Han, and Yi Jiang. "Adversarial Range Gate Pull-Off Jamming Against Tracking Radar." Sensors 25, no. 5 (2025): 1553. https://doi.org/10.3390/s25051553.
Full textAbstract:
Range gate pull-off (RGPO) jamming is an effective method for track deception aimed at radar systems. Nevertheless, enhancing the effectiveness of the jamming strategy continues to pose challenges, restricting the RGPO jamming method from achieving its maximum potential. This paper focuses on addressing the problem of optimizing the strategy for white-box RGPO jamming, serving as a foundational step toward quantitative optimization research on RGPO jamming strategies. In the white-box scenario, it is presumed that the jammer has full knowledge of the target radar’s tracking system, encompassing both the choice of tracking method and its parameter configurations. The intricate interactions between the jammer and the tracking radar introduce three primary challenges: (1) Formulating an algebraic expression for the objective function of the jamming strategy optimization is nontrivial; (2) Direct observation of jamming effects from the target radar is challenging; (3) Noise renders the jamming outcomes unpredictable. To tackle these challenges, this study formulates the optimization of the RGPO jamming strategy as an adversarial stochastic simulation optimization (ASSO) problem and introduces a novel solution for the white-box RGPO jamming strategy optimization: a local simulation-assisted particle swarm optimization algorithm with an equal resampling scheme (PSO-ER). The PSO-ER algorithm searches for optimal jamming strategies while utilizing a localized simulation of the tracking radar to evaluate the effectiveness of candidate jamming strategies. Experiments conducted on four benchmark cases confirm that the proposed approach is capable of generating well-tuned strategies for white-box RGPO jamming.
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Hanbali, Samer Baher Safa, and Radwan Kastantin. "A review of self-protection deceptive jamming against chirp radars." International Journal of Microwave and Wireless Technologies 9, no. 9 (2017): 1853–61. http://dx.doi.org/10.1017/s1759078717000708.
Full textAbstract:
The well-known range-Doppler coupling property of the chirp radar makes it more vulnerable to different types of deceptive repeater jammers that benefit from the pulse compression processing gain of the radar-matched filter. These jammers generate many false targets that appear before and after the true target. Therefore, the radar cannot distinguish the true target from the false ones. This paper reviews different self-protection repeater jammers and presents their pros and cons, in order to provide a reference for the study of jamming/anti-jamming methods.