Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network

Automotive radars, with a widespread emergence in the last decade, have faced various jamming attacks. Utilizing low probability of intercept (LPI) radar waveforms, as one of the essential solutions, demands an accurate waveform recognizer at the intercept receiver. Numerous conventional approaches...

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Veröffentlicht in:	IEEE wireless communications letters 2021-08, Vol.10 (8), p.1638-1642
Hauptverfasser:	Huynh-The, Thien, Doan, Van-Sang, Hua, Cam-Hao, Pham, Quoc-Viet, Nguyen, Toan-Van, Kim, Dong-Seong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Automatic waveform recognition Automotive radar Convolution deep learning Feature extraction Intercept receivers Jamming Kernel LPI radar signal Modules Radar Radar imaging Recognition Signal to noise ratio Time-frequency analysis Waveforms
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