A Fast Anti-Jamming Algorithm Based on Imitation Learning for WSN [PDF]
Sensors, 2023 Wireless sensor networks (WSNs), integral components underpinning the infrastructure of the internet of things (IoT), confront escalating threats originating from attempts at malicious jamming.
Wenhao Zhou +4 more
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Anti-Jamming Communication Using Imitation Learning [PDF]
Entropy, 2023 The communication reliability of wireless communication systems is threatened by malicious jammers. Aiming at the problem of reliable communication under malicious jamming, a large number of schemes have been proposed to mitigate the effects of malicious
Zhanyang Zhou +3 more
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An Anti-Jamming Method against Interrupted Sampling Repeater Jamming Based on Compressed Sensing [PDF]
Sensors, 2022 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
Yingxi Liu +5 more
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Design of anti‐jamming decision‐making for cognitive radar [PDF]
IET Radar, Sonar & Navigation, 2023 With the development of electronic warfare, anti‐jamming measure becomes more and more complex. There have been certain research results on jamming strategies, but only a few research materials on anti‐jamming strategies.
Husheng Wang, Baixiao Chen, Qingzhi Ye
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Airborne Radar Anti-Jamming Waveform Design Based on Deep Reinforcement Learning [PDF]
Sensors, 2022 Airborne radars are susceptible to a large number of clutter, noise and variable jamming signals in the real environment, especially when faced with active main lobe jamming, as the waveform shortcut technology in the traditional regime can no longer ...
Zexin Zheng, Wei Li, Kun Zou
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An Anti-Jamming Method against Two-Dimensional Deception Jamming by Spatial Location Feature Recognition [PDF]
Sensors, 2021 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 ...
Zhidong Liu, Qun Zhang, Kaiming Li
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A Novel Anti-Jamming Decision-Making Algorithm Based on Knowledge Graph Technology [PDF]
Applied Sciences, 2022 Wireless communications are increasingly vulnerable to malicious jamming attacks due to the inherent openness and broadcast nature. In this regard, a novel anti-jamming scheme based on knowledge graph is proposed in this paper, where the knowledge graph ...
Yingtao Niu +3 more
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A Novel Radar Mainlobe Anti-Jamming Method via Space-Time Coding and Blind Source Separation [PDF]
SensorsThis paper proposes a radar mainlobe anti-jamming method based on Space-Time Coding (STC) and Blind Source Separation (BSS). Addressing the performance degradation issue of traditional BSS methods under low Signal-to-Noise Ratio (SNR) and insufficient ...
Xinyu Ge +4 more
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A Reinforcement Learning-based Intelligent Learning Method for Anti-active Jamming in Frequency Agility Radar [PDF]
RadioengineeringActive jamming's flexibility and variability pose significant challenges for frequency-agility radar (FAR) detection, as it can continuously intercept and retransmit radar signals to suppress or deceive the radar.
J. Wei, L. Yu, Y. Wei, R. Xu
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Methods based on convolutional neural networks (CNNs) have become a vital offshoot for hyperspectral image (HSI) classification. In recent years, the 3-D CNN (3-DCNN) has become dominant due to its excellent capability of extracting features.
Yaxiu Sun +4 more
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