Results 1 to 10 of about 8,956 (287)
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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Radar Signal Intrapulse Modulation Recognition Based on a Denoising-Guided Disentangled Network
Remote Sensing, 2022 Accurate recognition of radar modulation mode helps to better estimate radar echo parameters, thereby occupying an advantageous position in the radar electronic warfare (EW).
Xiangli Zhang +7 more
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Radar Signal Modulation Recognition Based on Sep-ResNet [PDF]
Sensors, 2021 With the development of signal processing technology and the use of new radar systems, signal aliasing and electronic interference have occurred in space.
Yongjiang Mao +2 more
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Electronic radar signal recognition based on wavelet transform and convolution neural network
Alexandria Engineering Journal, 2022 With the continuous use of various new radar systems and complex radar systems, the electromagnetic environment is extremely deteriorated. The traditional emitter recognition methods have been difficult to meet the requirements of recognition performance
Xuezhong Wang
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Sensors, 2020 As the real electromagnetic environment grows complex and the quantity of radar signals turns massive, traditional methods, which require a large amount of prior knowledge, are time-consuming and ineffective for radar emitter signal recognition.
Bin Wu +5 more
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Radar Signal Recognition Based on CSRDNN Network
IEEE AccessIt is essential to achieve the high-accuracy recognition of low probability of intercept (LPI) radar signals in modern electronic warfare. However, under low signal-to-noise ratio (SNR), the recognition accuracy of the LPI radar signals is relatively low.
Zheng Zhang +6 more
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Few-Shot Learning for Radar Emitter Signal Recognition Based on Improved Prototypical Network
Remote Sensing, 2022 In recent years, deep learning has been widely used in radar emitter signal identification and has significantly increased recognition rates. However, with the emergence of new institutional radars and an increasingly complex electromagnetic environment,
Jing Huang +4 more
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Multilayer Decomposition Denoising Empowered CNN for Radar Signal Modulation Recognition
IEEE AccessRadar signal recognition plays a crucial role in modern electronic reconnaissance systems. With the increasing complexity of electromagnetic environments, radar signals are susceptible to noise interference under low signal-to-noise ratio (SNR ...
Mengting Jiang +5 more
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Radar Signal Recognition Based on Multi-Task Learning
IEEE AccessRadar signal recognition is an important topic in electronic countermeasures. However, with the growing complexity of the electromagnetic environment, accurately identifying radar signals faces great challenges, and insufficient feature extraction is a ...
Huihui Li +6 more
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IEEE Access, 2019 The development of cognitive radio and electronic warfare brings new challenges to radar electronic reconnaissance, the recognition of radar signal plays an extreme important role in radar electronic reconnaissance.
Jingpeng Gao +3 more
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