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Relevant bibliographies by topics / Target jamming

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Academic literature on the topic 'Target jamming'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Target jamming"

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.

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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.

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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.

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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.

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Dissertations / Theses on the topic "Target jamming"

1

Elsehely, Ehab Abou Bakr. "Radar target identification in jamming environments using multiscale wavelet transform on FPGA chip." Thesis, University of Kent, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324709.

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Kirkpantur-cadallli, Atiye Asli. "An Investigation Of Jamming Techniques Through A Radar Receiver Simulation." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609079/index.pdf.

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In this study, various jamming techniques and their effects on detection and tracking performance have been investigated through a radar receiver simulation that models a search radar for target acquisition and single-target tracking radar during track operation. The radar is modeled as looking at airborne targets, and hence clutter is not considered. Customized algorithms have been developed for the detection of target azimuth angle, range and Doppler velocity within the modeled geometry and chosen radar parameters. The effects of varying parameters like jamming-to-signal ratio (JSR) and jamming signal`s Doppler shift have been examined in the analysis of jamming effectiveness.

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Navas, Renzo Efraín. "Improving the resilience of the constrained Internet of Things : a moving target defense approach." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0217.

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Les systèmes de l’Internet des Objets (IoT) sont de plus en plus déployés dans le monde réel, mais leur sécurité est en retard par rapport à l’état de l’art des systèmes non IoT. La Défense par Cible Mouvante (MTD) est un paradigme de cyberdéfense qui propose de randomiser les composants des systèmes, dans l’intention de faire échec aux cyberattaquants qui s’appuyaient auparavant sur la nature statique des systèmes. Les attaquants sont désormais limités par le temps. Le MTD a été mis en œuvre avec succès dans les systèmes conventionnels, mais son utilisation pour améliorer la sécurité des IoT fait encore défaut dans la littérature. Au cours de cette thèse, nous avons validé le MTD comme paradigme de cybersécurité adapté aux systèmes IoT. Nous avons identifié et synthétisé les techniques MTD existantes pour l’IoT en utilisant une méthode d’examen systématique de la littérature, et nous avons défini et utilisé quatre nouvelles mesures liées à l’entropie pour mesurer les propriétés qualitatives des techniques MTD. Ensuite, nous avons proposé un framework générique de MTD distribué qui permet l’instanciation de stratégies MTD concrètes adaptées aux contraintes de l’IoT. Enfin, nous avons avons conçu un protocole de synchronisation du temps authentifié, et instancié trois techniques MTD particulières : deux dans les couches supérieures du réseau (portant sur le saut de port et sur des interfaces RESTful d’applications) -et validé l’une d’entre elles dans du matériel réel-, et la troisième dans la couche physique pour obtenir des systèmes IoT résistants aux brouillages par des nœuds internes en utilisant des techniques d’étalement du spectre par séquence directe avec des séquences pseudo aléatoires cryptographiquement fortes<br>Internet of Things (IoT) systems are increasingly being deployed in the real world, but their security lags behind the state of the art of non-IoT systems. Moving Target Defense (MTD) is a cyberdefense paradigm that proposes to randomize components of systems, with the intention of thwarting cyberattacks that previously relied in the static nature of systems. Attackers are now constrained by time. MTD has been successfully implemented in conventional systems, but its use to improve IoT security is still lacking in the literature. Over the course of this thesis, we validated MTD as a cybersecurity paradigm suitable for IoT systems. We identified and synthesized existing MTD techniques for IoT using a systematic literature review method,and defined and used four novel entropy related metrics to measure MTD techniques qualitative properties. Secondly, we proposed a generic distributed MTD framework that allows the instantiation of concrete MTD strategies suitable for the constraints of the IoT. Finally, we designed an secure time synchronization protocol, and instantiated three particular MTD techniques: two at the upper network layers (e.g. port-hopping, and application RESTful interfaces) -and validated one of them in real hardware-, and the third one at the physical layer to achieve IoT systems resilient to insider attacks/jamming by using Direct Sequence Spread-Spectrum techniques with cryptographically-strong pseudo-random sequences

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Mostafa, Khaled Hussien. "Detection of radar signals under noise and jamming conditions." Thesis, University of Kent, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324712.

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Youssef, Ahmed. "Enhancement of target detection using software defined radar (SDR)." Thesis, 2018. https://dspace.library.uvic.ca//handle/1828/10403.

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Three novel approaches that are based on a recent communication technique called time compression overlap-add (TC-OLA), are introduced into pulse compression (PC) radar systems to improve the radar waveform shaping and enhance radar performance. The first approach lays down a powerful framework for combining the TC-OLA technique into traditional PC radar system. The new TC-OLA-based radar obtained is compared with other radars, namely traditional linear frequency modulation (LFM), and wideband LFM which has the same processing gain under different background situations. The results show the superiority of the proposed radar over the others. The second approach combines a random phase noise signal with a selected radar signal to build a new radar system, SSLFM radar, that enjoys the low-probability of intercept property, and, therefore, has higher immunity against noise jamming techniques compared with other radar systems. The properly recovery of the transmitted signal, however, requires a synchronization system at the receiver side. In this dissertation, we propose three synchronization systems each having different pros and cons. The last approach takes the radar waveform design methodology in a different direction and proposes a novel framework to combine any number of radar signal and transmit them simultaneously. Instead of trying to achieve universality through waveform shaping optimization, we do so via pluralism. As a proof of concept, all the proposed radars have been implemented and tested on software-defined radar (SDR). The theoretical and the experimental results showed the superiority of all proposed radar systems. Since TC-OLA is fundamental to this work, we add a chapter to propose a new technique called downsample upsample shift add (DUSA) to address the limitations of the existing implementation of TC-OLA.<br>Graduate

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Book chapters on the topic "Target jamming"

1

Bucy, R. S., and K. D. Senne. "A Bayesian Approach to Target Detection in Jamming." In Acoustic Signal Processing for Ocean Exploration. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1604-6_28.

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2

Dong, Jianwen, Yuanhang Wang, and Tianxian Zhang. "A Multi-target Tracking Method Against Intelligent RGPO Jamming." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0416-7_43.

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Fu, Lianjian, Kai Liu, and Tianxian Zhang. "A Range-Angle Joint Deception Jamming Method for Target Tracking." In Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0479-2_283.

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Niño-Mora, José. "Whittle’s Index Policy for Multi-Target Tracking with Jamming and Nondetections." In Analytical and Stochastic Modelling Techniques and Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43904-4_15.

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Pang, Xudong, Beibei Cao, Liping Wu, and Xiaolong Zhang. "A Portable Radar Jamming Simulation System Used for Flight Mounted Target." In Communications in Computer and Information Science. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-9198-1_13.

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Tao, Liu, Zong Siguang, Tian Shusen, and Peng Pei. "A False-Target Jamming Method for the Phase Array Multibeam Radar Network." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_148.

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Li, Shizhong, Guohong Wang, Jing Bai, and Wei Wu. "Performance Analysis of Target Tracking for Radar Network in the Presence of Stand off Jamming." In Proceedings of the 2012 International Conference on Cybernetics and Informatics. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3872-4_156.

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Li, Honglei, Hao Lu, Meng Kang, and Jiang Luo. "An Analysis on Jamming Threat of Air Raid Targets." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48224-7_36.

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Wahab, Abdul, Kashif Hussain, Naila Shaheen, and Raza Khan. "Anti-Deceptive Jamming and Target Detection with Non-Linear FDA-MIMO Radar." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde221136.

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FDA-MIMO radar is a new form of radar technology that has a vast range of applications. Jamming is one of the many issues faced by the FDA-MIMO radar, such as deceptive jamming and target detection. A lot of work has been done in the fields of jamming and anti-jamming with FDA-MIMO radar. This paper introduces a non-linear SMA-FDA MIMO radar. Modified SMA has been proposed and implemented, which was never used in the radar application before it was used in the biological fields. Anti-deceptive jamming has been performed over the FDA-MIMO. Desired targets are being detected successfully. Simulation results are presented to show the efficiency of the proposed algorithm.

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"Target Detection and Tracking in SIAR under Strong Jamming." In Synthetic Impulse and Aperture Radar (SIAR). John Wiley & Sons, Singapore Pte. Ltd, 2014. http://dx.doi.org/10.1002/9781118609576.ch8.

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Conference papers on the topic "Target jamming"

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Xue, Rudong, Dekai Yan, Hua Wan, and Zekai Wu. "An anti-jamming method for intersection coplanar photoelectric target." In Second International Conference on Optoelectronic Information and Optical Engineering (OIOE 2025), edited by Yang Yue, Ming Jiang, and Qingyang Wei. SPIE, 2025. https://doi.org/10.1117/12.3068868.

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xu, leilei, jun pan, juqi yin, et al. "A waveform design method of dense false target jamming suppression." In The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), edited by Yang Yue and Lu Leng. SPIE, 2025. https://doi.org/10.1117/12.3045611.

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CHEN, Yongjun, Da Li, and Bo Tang. "An efficient algorithm for low-PAPR multi-target jamming signal synthesis." In Sixteenth International Conference on Signal Processing Systems (ICSPS 2024), edited by Robert Minasian and Li Chai. SPIE, 2025. https://doi.org/10.1117/12.3061530.

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Wang, Ziang, Lei Wang, Qi Yi, and Yimin Liu. "An MARL Based Multi-Target Tracking Algorithm Under Jamming Against Radar." In 2025 IEEE International Radar Conference (RADAR). IEEE, 2025. https://doi.org/10.1109/radar52380.2025.11031502.

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Schmied, Fabian, and Jörg Schöbel. "Concurrent Multi-Target Communication Jamming in a Single-Channel Jammer Scenario." In 2025 International Conference on Military Communication and Information Systems (ICMCIS). IEEE, 2025. https://doi.org/10.1109/icmcis64378.2025.11047809.

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Anoosha, Chukka, and B. T. Krishna. "Target Signal Jamming Using Forward Shifting Method for Linear Frequency Modulation Radars." In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). IEEE, 2024. https://doi.org/10.1109/delcon64804.2024.10867000.

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Xiao, Ningjie, Zhixing Liu, Zhiyuan Gao, and Yinghui Quan. "Dense False Target Jamming Suppression based on Time-domain Collaborative Waveform Design." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868506.

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Fan, Jiangtao, Kaidi Hu, Zhenyu Sun, and Chong Zhang. "Analysis of The Effect of Multiple False Target Jamming Based on CFAR Detection." In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025. https://doi.org/10.1109/iscait64916.2025.11010508.

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Xu, Zhengjia, Ivan Petrunin, and Antonios Tsourdos. "Deep Learning Assisted Radar Jamming Detection from Target Returns for Joint Radar Communication Systems." In 2024 International Radar Conference (RADAR). IEEE, 2024. https://doi.org/10.1109/radar58436.2024.10994104.

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Su, Xingde, Boweng Ding, and Tao Wang. "Suppression of Multi-Range-False-Target Jamming for Radar Network Based on Same-Origin Detection." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868806.

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