A Novel Radar Detection Approach Based on Hybrid Time-Frequency Analysis and Adaptive Threshold Selection
Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for radar signal detection. In this paper, a novel radar detection approach based on time-frequency distribution (TFD) is proposed. Exploiting the complementation of linear TFD and bilinear TFD approaches, the cross terms of Wigner-Ville distribution (WVD) are suppressed. By using an optimal threshold selected adaptively, the regions of WVD auto terms are determined exactly. And the multicomponent radar signals can be detected efficiently. Simulation results show that this approach can efficiently detect not only linear frequency modulation (LFM) signals, but also normal signals and phase modulation (BPSK and QPSK) signals.
KeywordsWVD Spectrogram Adaptive threshold selection Auto term
This work was supported by a grant from National Natural Science Foundation of China (grant number: 61102084).
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