Deep-learning-based radar target detection has substantially improved detection performance, but its effectiveness depends critically on the correctness of the training labels assigned to radar echo samples. In practical applications, training data may contain partially mislabeled samples, which can cause detection mod...
Chuan-Fei Zang, Yi-Ru Lin, Yu-Miao Wang et al.· 0 citations
In the presence of sophisticated electronic reconnaissance, low probability of intercept (LPI) property is a key enabler for improving radar survivability. Many existing LPI waveform designs improve intercept resistance by suppressing signal features in specific domains or by countering particular reconnaissance functi...
Pei-Jie Zhu, Tao Fan, Xian-Xiang Yu et al.· IEEE Transactions on Aerospa...· 0 citations
Low probability of intercept (LPI) signal detection is essential to cognitive electronic warfare (CEW) systems, but it is challenged by the coexistence of impulsive noise and the low signal-to-noise ratios (SNRs) stemming from LPI signals’ high time-bandwidth product and low peak power, thereby degrading the performanc...
Chen Cheng, Zhi Sun, Wenya Gao et al.· IEEE Transactions on Cogniti...· 0 citations
In spectrum-congested environments, radar systems may simultaneously suffer from interrupted sampling repeater jamming (ISRJ) generated by digital radio frequency memory techniques and spectrally overlapping communication interference. To address this compound-interference problem, this paper proposes a joint transmit–...
Hui Qiu, Xian-Xiang Yu, Tao Fan et al.· IEEE Transactions on Cogniti...· 0 citations
Low probability of intercept (LPI) radar signals pose significant challenges for electronic support (ES) in Internet of Military Things (IoMT) due to low signal-to-noise ratios (SNRs) and complex modulations. Traditional noise reduction and recognition techniques struggle to maintain performance in low-SNR environments...
Chen Cheng, Zhi Sun, Hao-Nan Zhang et al.· IEEE Internet of Things Jour...· 0 citations
The rapiddevelopment of frequency-modulated continuous wave (FMCW) radar has introduced critical mutual interference challenges. Currently, compressed sensing (CS) and deep learning offer promising interference suppression capabilities, while conventional CS implementations face computational bottlenecks and hyperparam...
Hao Zhang, Shun-Jun Wei, R. Min et al.· IEEE Transactions on Aerospa...· 0 citations
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