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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
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2

Cemil, Alper, and Mehmet Ünlü. "Analysis of ADAS Radars with Electronic Warfare Perspective." Sensors 22, no. 16 (2022): 6142. http://dx.doi.org/10.3390/s22166142.

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The increasing demand in the development of autonomous driving systems makes the employment of automotive radars unavoidable. Such a motivation for the demonstration of fully-autonomous vehicles brings the challenge of secure driving under high traffic jam conditions. In this paper, we present the investigation of Advanced Driver Assistance Systems (ADAS) radars from the perspective of electronic warfare (EW). Close to real life, four ADAS jamming scenarios have been defined. Considering these scenarios, the necessary jamming power to jam ADAS radars is calculated. The required jamming Effecti
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3

Zhang, Pan, Yi Huang, and Zhonghe Jin. "An Electronic Jamming Method Based on a Distributed Information Sharing Mechanism." Electronics 12, no. 9 (2023): 2130. http://dx.doi.org/10.3390/electronics12092130.

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In an electronic jamming system, the ability to adequately perceive information determines the effectiveness of an electronic countermeasures strategy. This paper proposes a new method based on the combination of a multi-agent electronic jammer and an information sharing mechanism. With the development of intelligent technology and deep learning, these technologies have been applied in electronic countermeasure game systems. Introducing intelligent technology into the electronic confrontation system can greatly improve decision-making efficiency. At the same time, a multi-agent electronic coun
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4

Haig, Zsolt, Zsolt Illési, and Péter János Varga. "Possibilities of Electronic Jamming of WLAN Networks in the Physical Layer." Hadmérnök 17, no. 3 (2022): 133–52. http://dx.doi.org/10.32567/hm.2022.3.9.

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Wireless local area networks or WLANs are the necessary underlying communication technology of consumer electronics, mobile computers and mobile phones of our days. Thanks to the comfortable operations and ubiquitous applicability for work and entertainment, the demand surged for these devices in the last 15 years. WLAN solutions provide the opportunity for mobility. But these networks communicate via radio waves with devices, which can be eavesdropped on and attacked. One form of attack is jamming. This article analyses the most frequent WLAN standards and the jamming options, particularly th
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5

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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6

Zhao, Yongjie, Longqing Li, Deming Hu, et al. "Positioning Error Analysis of Distributed Random Array Based on Unmanned Aerial Vehicles in Collaborative Jamming." Drones 9, no. 4 (2025): 234. https://doi.org/10.3390/drones9040234.

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Distributed beamforming has emerged as a pivotal technology in modern communication systems, radar applications, and collaborative electronic warfare. Through distributed collaboration, these jamming nodes composed of unmanned aerial vehicles (UAVs) can execute flexible electronic jamming toward wireless communication systems despite energy limitations. However, they encounter challenges such as time and positioning inaccuracies, which can diminish the synthesis power of jamming beams and reduce jamming effectiveness. This paper examines the impact of angle and distance errors on jamming effec
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7

Ling, Qing, Penghui Huang, Donghong Wang, et al. "Range Deception Jamming Performance Evaluation for Moving Targets in a Ground-Based Radar Network." Electronics 12, no. 7 (2023): 1614. http://dx.doi.org/10.3390/electronics12071614.

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With the rapid development of electronic information technology, the forms and technologies of electronic warfare have become more complicated, and electronic countermeasures (ECMs) and electronic counter-countermeasures (ECCMs) have become fierce in recent years. Networked radars have become an important means of ECMs due to their “four anti-resistance performance” against electronic jamming, anti-stealth, anti-radiation missiles, and low-altitude penetration. Based on this, this paper evaluates the performance of range deception jamming on an air-based jammer in a ground-based radar network.
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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 jamm
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9

Zeki Fikret, Cenk Kaan, and Ahmet Akbulut. "Analysis of superhet radar receivers in electronic warfare: performance against jamming techniques." Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 67, no. 1 (2025): 43–58. https://doi.org/10.33769/aupse.1611938.

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The resilience of RADAR systems in electronic warfare environments is critical for ensuring accurate communication and target detection amidst signal jamming techniques. This study focuses on the performance of Superheterodyne (Superhet) receivers, which are favored for their simplicity, flexibility, and high sensitivity in handling jamming signals. The paper examines the effectiveness of Superhet receivers in scenarios involving various jamming types, including DRFM, sweep, barrage, and noise jamming, while considering factors such as distance, RADAR Cross Section values, and signal processin
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10

Patil, Aishwarya. "Electronic Countermeasure System for Jamming." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 5919–25. https://doi.org/10.22214/ijraset.2025.71606.

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This project focuses on designing and constructing a compact portable electronic jammer operating in the 2.4 GHz frequency range which covers the bands for other technologies such as Wi-Fi or Bluetooth for wireless communication. The system architecture is based on ESP32 microcontrollers and nRF24L01 RF transceivers that are used to create signals that jam wireless communications in the specified frequency range. To increase the user-friendliness of the device, the microcontroller is supplemented with an OLED display that shows system status, in addition, the device is powered from a rechargea
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11

SEMENENKO, Oleh M., Uzef B. DOBROVOLSKYI, Maryna O. SLIUSARENKO, Svitlana S. ZVARYCH, and Anatolii O. ZVARYCH. "Methodical approach to evaluating the effectiveness of electronic counter-countermeasures to airborne interference stations in aerial combat." INCAS BULLETIN 12, S (2020): 149–57. http://dx.doi.org/10.13111/2066-8201.2020.12.s.14.

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Modern active jamming stations reduce the chance of aircraft getting hit by missiles with active and semi-active homing heads during aerial combat by 40-60%. The active development of airborne electronic countermeasures equipment forces to look for ways and means to not only protect against them, but also to actively counter these means, the so-called electronic counter-countermeasures. Nowadays, there are several methods of electronic counter-countermeasures to the enemy airborne active jamming stations, but the sequence and conditions of their application are not defined. Therefore, the pape
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12

Фабіровський, С., В. Сторож, І. Прудиус та І. Герей. "Побудова малогабаритних пристроїв для радіоелектронного подавлення малорозмірних безпілотних літальних апаратів". Information and communication technologies, electronic engineering 2, № 1 (2022): 82–95. http://dx.doi.org/10.23939/ictee2022.01.082.

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This article is devoted to the solving task of developing a jamming device for suppressing small-sized unmanned aerial vehicles. The paper analyzes modern devices and systems for jamming, means of electronic countermeasures for unmanned aerial vehicles, their features and the principle of operation are indicated. The relevance of these devices to date is substantiated. A small-sized device for jamming in the frequency range from 433 to 6 GHz has been developed. Its structural and circuit diagram has been synthesized, the printed circuit board of this device has been designed on a modern elemen
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13

Liu, Zhidong, Qun Zhang, and Kaiming Li. "A Smart Noise Jamming Suppression Method Based on Atomic Dictionary Parameter Optimization Decomposition." Remote Sensing 14, no. 8 (2022): 1921. http://dx.doi.org/10.3390/rs14081921.

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Smart noise jamming is a new jamming style against radar, which plays an important role in modern radar electronic warfare. In order to solve the complex problem of convolutional smart noise jamming suppression with different time delay and jamming frequency modulation, a novel jamming suppression method based on the optimized atomic dictionary decomposition by estimating significant jamming parameters is proposed in this paper. First, the dual channel jamming signal information is obtained by designing twinning waveforms, then the independent estimation of time delay and jamming frequency par
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14

Hwang, TaeHyun, Rhee Man Kil, Hyun Ku Lee, et al. "Estimation of Jamming Parameters based on Gaussian Kernel Function Networks." Journal of the Korea Institute of Military Science and Technology 23, no. 1 (2020): 1–10. https://doi.org/10.9766/kimst.2020.23.1.001.

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Effective jamming in electronic warfare depends on proper jamming technique selection and jamming parameter estimation. For this purpose, this paper proposes a new method of estimating jamming parameters using Gaussian kernel function networks. In the proposed approach, a new method of determining the optimal structure and parameters of Gaussian kernel function networks is proposed. As a result, the proposed approach estimates the jamming parameters in a reliable manner and outperforms other methods such as the DNN(Deep Neural Network) and SVM(Support Vector Machine) estimation models.
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15

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.

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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 ra
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16

Lu, Lu, and Meiguo Gao. "A Truncated Matched Filter Method for Interrupted Sampling Repeater Jamming Suppression Based on Jamming Reconstruction." Remote Sensing 14, no. 1 (2021): 97. http://dx.doi.org/10.3390/rs14010097.

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Interrupted sampling repeater jamming (ISRJ) is becoming more widely used in electronic countermeasures (ECM), thanks to the development of digital radio frequency memory (DRFM). Radar electronic counter-countermeasure (ECCM) is much more difficult when the jamming signal is coherent with the emitted signal. Due to the intermittent transmission feature of ISRJ, the energy accumulation of jamming on the matched filter shows a ‘ladder’ characteristic, whereas the real target signal is continuous. As a consequence, the time delay and distribution of the jamming slice can be obtained based on sear
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17

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 retrans
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18

Wei, Jingjing, Yinsheng Wei, Lei Yu, and Rongqing Xu. "Radar Anti-Jamming Decision-Making Method Based on DDPG-MADDPG Algorithm." Remote Sensing 15, no. 16 (2023): 4046. http://dx.doi.org/10.3390/rs15164046.

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In the face of smart and varied jamming, intelligent radar anti-jamming technologies are urgently needed. Due to the variety of radar electronic counter-countermeasures (ECCMs), it is necessary to efficiently optimize ECCMs in the high-dimensional knowledge base to ensure that the radar achieves the optimal anti-jamming effect. Therefore, an intelligent radar anti-jamming decision-making method based on the deep deterministic policy gradient (DDPG) and the multi-agent deep deterministic policy gradient (MADDPG) (DDPG-MADDPG) algorithm is proposed. Firstly, by establishing a typical working sce
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19

Xing, Xiaoyou, Longxiao Xu, Lvwan Nie, and Xueting Li. "AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment." Sensors 25, no. 10 (2025): 3163. https://doi.org/10.3390/s25103163.

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For radar system tracking, a higher radar echo signal to interference and noise ratio (SINR) implies a higher tracking accuracy. However, in a countermeasures environment, increasing the transmit power of a radar may not lead to a higher SINR due to suppressive jamming. Also, the variation in the target radar cross-section (RCS) is an important factor affecting the SINR, since to achieve the same SINR value, a large RCS value needs less transmit power and a small RCS value needs more transmit power. Therefore, to design an efficient power allocation strategy, the influence of the electronic ja
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20

Zhang, Kedi, Qingsong Zhou, Jing Wang, Chao Huang, Zhongping Yang, and Jianyun Zhang. "Wideband Waveform Design for Distributed Precision Jamming." Entropy 25, no. 3 (2023): 496. http://dx.doi.org/10.3390/e25030496.

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Precision electronic warfare is a hot direction for future jamming technology development, and distributed precision jamming (DIPJ) is one of its typical application scenarios. The task objective of DIPJ is to design jamming waveforms so that the jamming energy generated by a set of ultra-sparse array transmitters can be focused in the jamming region of interest while being suppressed in other specific protected regions, which can be viewed as a distributed multiple-input and multiple-output system waveform design problem under a three-dimensional scenario. This paper extends the jamming signa
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21

Xing, Huaixi, Qinghua Xing, and Kun Wang. "Radar Anti-Jamming Countermeasures Intelligent Decision-Making: A Partially Observable Markov Decision Process Approach." Aerospace 10, no. 3 (2023): 236. http://dx.doi.org/10.3390/aerospace10030236.

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Current electronic warfare jammers and radar countermeasures are characterized by dynamism and uncertainty. This paper focuses on a decision-making framework of radar anti-jamming countermeasures. The characteristics and implementation process of radar intelligent anti-jamming systems are analyzed, and a scheduling method for radar anti-jamming action based on the Partially Observable Markov Process (POMDP) is proposed. The sample-based belief distribution is used to reflect the radar’s cognition of the environment and describes the uncertainty of the recognition of jamming patterns in the bel
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22

Li, Huiqin, Yanling Li, Chuan He, Jianwei Zhan, and Hui Zhang. "Cognitive Electronic Jamming Decision-Making Method Based on Improved Q -Learning Algorithm." International Journal of Aerospace Engineering 2021 (December 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/8647386.

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In this paper, a cognitive electronic jamming decision-making method based on improved Q -learning is proposed to improve the efficiency of radar jamming decision-making. First, the method adopts the simulated annealing (SA) algorithm’s Metropolis criterion to enhance the exploration strategy, balancing the contradictory relationship between exploration and utilization in the algorithm to avoid falling into local optima. At the same time, the idea of stochastic gradient descent with warm restarts (SGDR) is introduced to improve the learning rate of the algorithm, which reduces the oscillation
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23

Xiangli, Wenting, Hong Su, Tie Li, Yali Hou, and Dong Cui. "Evaluation Method for Anti-Chaff Jamming Performance of Typical Radio Fuze." Journal of Physics: Conference Series 2891, no. 12 (2024): 122014. https://doi.org/10.1088/1742-6596/2891/12/122014.

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Abstract Chaff jamming is one of the common countermeasures in electronic warfare against radio fuze. Currently, there is no unified and effective evaluation criterion and method for the anti-chaff jamming capability of radio fuze. An evaluation method for the anti-chaff jamming performance of radio fuze during the missile-target encounter trajectory phase is proposed. A dynamic echo model of chaff clouds was established. The echo signals of the chaff cloud and the target were calculated and the fuze actuation were simulated and analyzed. The results show that this evaluation method can effect
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24

Ye, Fang, Fei Che, and Lipeng Gao. "Multiobjective Cognitive Cooperative Jamming Decision-Making Method Based on Tabu Search-Artificial Bee Colony Algorithm." International Journal of Aerospace Engineering 2018 (December 9, 2018): 1–10. http://dx.doi.org/10.1155/2018/7490895.

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For the future information confrontation, a single jamming mode is not effective due to the complex electromagnetic environment. Selecting the appropriate jamming decision to coordinately allocate the jamming resources is the development direction of the electronic countermeasures. Most of the existing studies about jamming decision only pay attention to the jamming benefits, while ignoring the jamming cost. In addition, the conventional artificial bee colony algorithm takes too many iterations, and the improved ant colony (IAC) algorithm is easy to fall into the local optimal solution. Agains
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25

Guo, Zhengwei, Longyuan Wang, Zhenchang Liu, Zewen Fu, Ning Li, and Xuebo Zhang. "Adaptive Barrage Jamming Against SAR Based on Prior Information and Scene Segmentation." Remote Sensing 17, no. 7 (2025): 1303. https://doi.org/10.3390/rs17071303.

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Due to the advantages of easy implementation and fine jamming effect, barrage jamming against synthetic aperture radar (SAR) has received extensive attention in the field of electronic countermeasures. However, most methods of barrage jamming still have limitations, such as uncontrollable jamming position and coverage and high-power requirements. To address these issues, an improved barrage jamming method is proposed in this paper. The proposed method fully combines the prior information of the region of interest (ROI), and the precise jamming with controllable position, coverage, and power is
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26

Fang, Xuan, Dehua Zhao, and Liang Zhang. "Unimodular Multi-Input Multi-Output Waveform and Mismatch Filter Design for Saturated Forward Jamming Suppression." Sensors 24, no. 18 (2024): 5884. http://dx.doi.org/10.3390/s24185884.

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Forward jammers replicate and retransmit radar signals back to generate coherent jamming signals and false targets, making anti-jamming an urgent issue in electronic warfare. Jamming transmitters work at saturation to maximize the retransmission power such that only the phase information of the angular waveform at the designated direction of arrival (DOA) is retained. Therefore, amplitude modulation of MIMO radar angular waveforms offers an advantage in combating forward jamming. We address both the design of unimodular MIMO waveforms and their associated mismatch filters to confront mainlobe
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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.

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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
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28

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.

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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) requir
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Jiang, Yilin, Yaozu Yang, Wei Zhang, and Limin Guo. "Deep Learning-Based Active Jamming Suppression for Radar Main Lobe." IET Signal Processing 2024 (March 15, 2024): 1–24. http://dx.doi.org/10.1049/2024/3179667.

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Due to the development of digital radio frequency memory (DRFM), active jamming against the main lobe of the radar has become mainstream in electronic warfare. The jamming infiltrates the radar receiver via the main lobe, covering up the target echo information. This greatly affects the detection, tracking, and localization of targets by radar. In this study, we consider jamming suppression based on the independence of RF features. First, two stacked sparse auto-encoders (SSAEs) are built to extract the RF characteristics and signal features carried out by the actual radar signal for subsequen
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30

Gong, Yanyun, Ling Wang, Rugui Yao, and Zhaolin Zhang. "A Robust Method to Suppress Jamming for GNSS Array Antenna Based on Reconstruction of Sample Covariance Matrix." International Journal of Antennas and Propagation 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/9764283.

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The Global Navigation Satellite System (GNSS) receiver is vulnerable to active jamming, which results in imprecise positioning. Therefore, antijamming performance of the receiver is always the key to studies of satellite navigation system. In antijamming application of satellite navigation system, if active jamming is received from array antenna main-lobe, main-lobe distortion happens when the adaptive filtering algorithm forms main-lobe nulling. A robust method to suppress jamming for satellite navigation by reconstructing sample covariance matrix without main-lobe nulling is proposed in this
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Xu, Yuting, Chao Wang, Jiakai Liang, et al. "Deep Reinforcement Learning Based Decision Making for Complex Jamming Waveforms." Entropy 24, no. 10 (2022): 1441. http://dx.doi.org/10.3390/e24101441.

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With the development of artificial intelligence, intelligent communication jamming decision making is an important research direction of cognitive electronic warfare. In this paper, we consider a complex intelligent jamming decision scenario in which both communication parties choose to adjust physical layer parameters to avoid jamming in a non-cooperative scenario and the jammer achieves accurate jamming by interacting with the environment. However, when the situation becomes complex and large in number, traditional reinforcement learning suffers from the problems of failure to converge and a
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32

Zheng, Guangyong, Siqi Na, Tianyao Huang, and Lulu Wang. "A Barrage Jamming Strategy Based on CRB Maximization against Distributed MIMO Radar." Sensors 19, no. 11 (2019): 2453. http://dx.doi.org/10.3390/s19112453.

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Distributed multiple input multiple output (MIMO) radar has attracted much attention for its improved detection and estimation performance as well as enhanced electronic counter-counter measures (ECCM) ability. To protect the target from being detected and tracked by such radar, we consider a barrage jamming strategy towards a distributed MIMO. We first derive the Cramer–Rao bound (CRB) of target parameters estimation using a distributed MIMO under barrage jamming environments. We then set maximizing the CRB as the criterion for jamming resource allocation, aiming at degrading the accuracy of
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Gavouchidis, Kiriakos, and Dimitrios Efstathiou. "A SURVEY ON JAMMING AND FRIENDLY JAMMING TECHNIQUES." Far East Journal of Electronics and Communications 25 (August 17, 2022): 1–36. http://dx.doi.org/10.17654/0973700622001.

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Cao, Fei, Fan Wu, and Lu Fang. "Single-Pulse System of Radar Anti-Aimeds Jamming Performance." Applied Mechanics and Materials 333-335 (July 2013): 576–79. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.576.

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In modern warfare, electronic jamming air defense missile weapon system is the greatest threat to the seeker for terminal guidance radar interference is an important aspect of electronic interference. Successful interference allows the weapon system hit rate to reduce or even out of control. Therefore, analysis of the impact of interference on radar seeker to intercept and track the performance of meaningful analysis and modeling, this paper mainly targeting blanket jamming interference and interference conditions of the monopulse system radar seeker performance were analyzed.
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Lee, Gyeong-Hoon, Jeil Jo, and Cheong Hee Park. "Jamming Prediction for Radar Signals Using Machine Learning Methods." Security and Communication Networks 2020 (January 24, 2020): 1–9. http://dx.doi.org/10.1155/2020/2151570.

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Jamming is a form of electronic warfare where jammers radiate interfering signals toward an enemy radar, disrupting the receiver. The conventional method for determining an effective jamming technique corresponding to a threat signal is based on the library which stores the appropriate jamming method for signal types. However, there is a limit to the use of a library when a threat signal of a new type or a threat signal that has been altered differently from existing types is received. In this paper, we study two methods of predicting the appropriate jamming technique for a received threat sig
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36

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.

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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 e
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37

Biroli, G., and C. Toninelli. "Spiral model, jamming percolation and glass-jamming transitions." European Physical Journal B 64, no. 3-4 (2008): 567–72. http://dx.doi.org/10.1140/epjb/e2008-00029-9.

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38

Anderson, Mark. "Resources: Virtual Jamming." IEEE Spectrum 44, no. 7 (2007): 53–56. http://dx.doi.org/10.1109/mspec.2007.376609.

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39

Lang, Bin, and Jian Gong. "JR-TFViT: A Lightweight Efficient Radar Jamming Recognition Network Based on Global Representation of the Time–Frequency Domain." Electronics 11, no. 17 (2022): 2794. http://dx.doi.org/10.3390/electronics11172794.

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Efficient jamming recognition capability is a prerequisite for radar anti-jamming and can enhance the survivability of radar in electronic warfare. Traditional recognition methods based on manually designed feature parameters have found it difficult to cope with the increasingly complex electromagnetic environment, and research combining deep learning to achieve jamming recognition is gradually increasing. However, existing research on radar jamming recognition based on deep learning can ignore the global representation in the jamming time–frequency domain data, while not paying enough attenti
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40

Lee, Haemin, and Ki-Wan Kim. "An Integrated Raw Data Simulator for Airborne Spotlight ECCM SAR." Remote Sensing 14, no. 16 (2022): 3897. http://dx.doi.org/10.3390/rs14163897.

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Airborne synthetic aperture radar (SAR) systems often encounter the threats of interceptors or electronic countermeasures (ECM) and suffer from motion measurement errors. In order to design and analyze SAR systems while considering such threats and errors, an integrated raw data simulator is proposed for airborne spotlight electronic counter-countermeasure (ECCM) SAR. The raw data for reflected echo signals and jamming signals are generated in arbitrary waveform to achieve pulse diversity. The echo signals are simulated based on the scene model computed through the inverse polar reformatting o
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41

Sciancalepore, Savio, and Roberto Di Pietro. "Bittransfer: Mitigating Reactive Jamming in Electronic Warfare Scenarios." IEEE Access 7 (2019): 156175–90. http://dx.doi.org/10.1109/access.2019.2949716.

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42

Wang, Luguang, Guoxin Li, Fei Song, et al. "A DRL-Based Intelligent Jamming Approach for Joint Channel and Power Optimization." Wireless Communications and Mobile Computing 2023 (February 6, 2023): 1–15. http://dx.doi.org/10.1155/2023/3625917.

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The traditional jamming methods mainly focus on the optimization of a single domain, such as frequency domain. However, in the practical wireless communication, the jamming methods in single dimension domain are limited and difficult to cope with multidomain scenarios. To overcome these issues, this paper investigates the problem of joint decision-making for jamming channel and power in a dynamic spectrum environment. Firstly, the Markov decision process (MDP) is used to formulate the jamming channel and power joint selection problem. Then, a deep reinforcement learning- (DRL-) based jamming a
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43

Park, So Ryoung, Ilku Nam, and Sanguk Noh. "Modeling and Simulation for the Investigation of Radar Responses to Electronic Attacks in Electronic Warfare Environments." Security and Communication Networks 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/3580536.

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An electronic warfare (EW) simulator is presented to investigate and evaluate the tracking performance of radar system under the electronic attack situations. The EW simulator has the input section in which the characteristic parameters of radar threat, radar warning receiver, jammer, electromagnetic wave propagation, and simulation scenario can be set up. During the process of simulation, the simulator displays the situations of simulation such as the received signal and its spectrum, radar scope, and angle tracking scope and also calculates the transient and root-mean-squared tracking errors
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44

Yin, Ziming, Pengcheng Guo, Yunyu Wei, et al. "An Anti-Interrupted-Sampling Repeater Jamming Method Based on Simulated Annealing–2-Optimization Parallel Optimization of Waveforms and Fractional Domain Extraction." Sensors 25, no. 10 (2025): 3000. https://doi.org/10.3390/s25103000.

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Faced with increasingly complex electronic jamming environments, intra-pulse agility has become a primary method of anti-interrupted-sampling repeater jamming (ISRJ) for radar systems. However, existing intra-pulse agile signals suffer from high autocorrelation sidelobe levels and limited jamming suppression capabilities. These issues restrict the performance of intra-pulse agile signals in complex electromagnetic environments.This paper proposes an anti-interrupted-sampling repeater jamming method based on Simulated Annealing–2-optimization (SA-2opt) parallel optimization of waveforms and fra
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45

Zhang, Qiang, and Weijun Pan. "Adaptive Countering Technique for Angle Deception Based on Dual Polarization Radar Seeker." International Journal of Antennas and Propagation 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/2345491.

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Angle deception jamming makes the monopulse radar seeker track to itself but not the real target, which is catastrophic for the guidance radar. In this paper, an adaptive technique based on dual polarization radar is presented to counter it. How angle deception jamming acts on the monopulse tracking radar is first investigated. An angle estimation technique of the real target is then derived from the conventional monopulse method, although it is being interfered with by angle deception jamming. Meanwhile, the polarization ratio characteristic of the angle deception jamming could be adaptively
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46

Wen, Zhenming, Guohong Wang, and Hongbo Yu. "Suppression Method for Smeared Spectrum Jamming Based on Lv’s Distribution Combined with Biorthogonal Fourier Transform." Journal of Electrical and Computer Engineering 2024 (January 22, 2024): 1–12. http://dx.doi.org/10.1155/2024/7070078.

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Smeared spectrum (SMSP) jamming is a deceptive jamming technique commonly used against linear frequency modulation (LFM) radar. This technique produces high-density false targets that resemble a comb shape after pulse compression processing, resulting in both deceiving and suppressing effects. In order to suppress jamming effectively, a new antijamming technique has been proposed that combines Lv’s distribution (LVD) with biorthogonal Fourier transform (BFT). The main idea of this antijamming method is based on a three-step process: “parameter estimation—echo modulation—identification and supp
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Joshi, Hem Dutt, Ravneet Kaur, Ashutosh Kumar Singh, and Amit Mishra. "An improved method for deceptive jamming against synthetic aperture radar." International Journal of Microwave and Wireless Technologies 10, no. 1 (2017): 115–21. http://dx.doi.org/10.1017/s175907871700109x.

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Jamming of synthetic aperture radar (SAR) is more difficult than the conventional radars because of its high processing gain. The defocusing of fake or virtual scatterers is the main problem that any jamming technique needs to tackle. An algorithm based on fractional Fourier transform is proposed for the efficient jamming of SAR. The results show that the performance of proposed algorithm is better than conventional Range Doppler Algorithm.
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48

Zhang, Qiang, Rui Zhou, Xianbo Shi, and Yixin Zhao. "Adaptive Dual-Polarization Filtering Method for Countering Active Jamming." International Journal of Antennas and Propagation 2020 (May 14, 2020): 1–7. http://dx.doi.org/10.1155/2020/4961402.

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In order to counter active jamming, an adaptive polarization filtering method based on dual polarization radar is put forward. First, the signal flow principle of the dual polarization radar and its signal model are introduced. Then, the weighted coefficient matrices of the polarization filter are calculated adaptively according to the actual work situation of the current radar. Finally, the specific polarization filtering algorithm and the output criterion of the optimal filtering results are given. Experimental results show that this method does not need to know the type, quantity, combinati
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49

Li, Xiangjun, Lei Chen, Zukun Lu, et al. "Overview of Jamming Technology for Satellite Navigation." Machines 11, no. 7 (2023): 768. http://dx.doi.org/10.3390/machines11070768.

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The Global Navigation Satellite System (GNSS) has been applied to all aspects of social livelihood and military applications and has become an important part of national infrastructure construction. However, due to the vulnerability of GNSS, satellite navigation jamming technology can pose a serious threat to GNSS security applications, and this has become a research hotspot in the field of navigation countermeasures. In this paper, satellite navigation jamming technologies are divided into suppression jamming and deception jamming, and the research status of satellite navigation suppression j
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Niu, Yingtao, Zhanyang Zhou, Ziming Pu, and Boyu Wan. "Anti-Jamming Communication Using Slotted Cross Q Learning." Electronics 12, no. 13 (2023): 2879. http://dx.doi.org/10.3390/electronics12132879.

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Most of the existing intelligent anti-jamming communication algorithms model sensing, learning, and transmission as a serial process, and ideally assume that the duration of sensing and learning timeslots is very short, almost negligible. However, when the jamming environment changes rapidly, the sensing and learning time can no longer be ignored, and the adaptability of the wireless communication system to the time-varying jamming environment will be significantly reduced. To solve this problem, this paper proposes a parallel Q-learning (PQL) algorithm. In the case of long sensing and learnin
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