Fast Complex-Valued CNN for Radar Jamming Signal Recognition [PDF]
Remote Sensing, 2021 Jamming is a big threat to the survival of a radar system. Therefore, the recognition of radar jamming signal type is a part of radar countermeasure. Recently, convolutional neural networks (CNNs) have shown their effectiveness in radar signal processing,
Haoyu Zhang +3 more
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Novel Unconventional-Active-Jamming Recognition Method for Wideband Radars Based on Visibility Graphs [PDF]
Sensors, 2019 Radar unconventional active jamming, including unconventional deceptive jamming and barrage jamming, poses a serious threat to wideband radars. This paper proposes an unconventional-active-jamming recognition method for wideband radar.
Congju Du, Bin Tang
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Radar Jamming Recognition: Models, Methods, and Prospects
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn modern warfare with complex and changeable electromagnetic environments, radar jamming is getting more complex and realistic, which poses a serious threat to radar; jamming recognition has become a hot topic in the field of electronic countermeasures.
Zan Wang +3 more
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Energy-based jamming pattern open set recognition via spiking wavelet transformer. [PDF]
PLoS ONEJamming pattern recognition (JPR) is critical in modern communication systems, including civil, and industrial applications, where complex and unpredictable jamming patterns (JPs) frequently disrupt normal operations.
Xincheng Zhong +2 more
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Research on Jamming Recognition Based on Time-Frequency Domain Weighted Fusion and Attention Mechanism [PDF]
SensorsThe jamming recognition of target detection aims to achieve rapid judgment and effective response to jamming by analyzing the target echo signals. This paper addresses the shortcomings of the existing methods in terms of jamming recognition capabilities ...
Yao Zhang +4 more
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Intelligent Radar Jamming Recognition in Open Set Environment Based on Deep Learning Networks
Remote Sensing, 2022 Jamming recognition is an essential step in radar detection and anti-jamming in the complex electromagnetic environment. When radars detect an unknown type of jamming that does not occur in the training set, the existing radar jamming recognition ...
Yu Zhou +5 more
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Compound Jamming Recognition Under Low JNR Setting Based on a Dual-Branch Residual Fusion Network [PDF]
SensorsIn complex electromagnetic environments, radar systems face increasing challenges from advanced jamming techniques. These challenges mainly stem from the diversity of jamming patterns, the complexity of compound jamming signals, and the difficulty of ...
Wen Lu, Junbao Li, Feng Xie, Huanyu Liu
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Recognition of radar active-jamming through convolutional neural networks [PDF]
The Journal of Engineering, 2019 Radar application in modern warfare becomes more and more rigorous because of the rapidly developed radar countermeasures, especially active jamming in recent years. It costs a radar many resources for anti-jamming in order to detect a target.
Yafeng Wang, Boye Sun, Ning Wang
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Radar Active Jamming Recognition under Open World Setting
Remote Sensing, 2023 To address the issue that conventional methods cannot recognize unknown patterns of radar jamming, this study adopts the idea of zero-shot learning (ZSL) and proposes an open world recognition method, RCAE-OWR, based on residual convolutional ...
Yupei Zhang, Zhijin Zhao, Yi Bu
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Distributed Few-Shot Learning for Intelligent Recognition of Communication Jamming [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2022 Effective recognition of communication jamming is of vital importance in improving wireless communication sys- tem’s anti-jamming capability. Motivated by the major challenges that the jamming data sets in wireless communication system are often small and the recognition performance may be poor, we introduce a novel jamming recognition method based on ...
Mingqian Liu, Zilong Liu, Weidang Lu
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