Radar Micro-Doppler Signal Detection and Extraction via Short-time Sparse Fractional Fourier Transform

摘要

In order to effectively improve radar detection ability of target with micromotion in complex environment, the principle framework of short-time sparse time-frequency distribution (ST-TFD) is established combing the advantages of TFD and sparse representation. Based on the radar micro-Doppler (m-D) signal modeled as a linear frequency modulated (LFM) signal, short-time sparse fractional Fourier transform (ST-SFRFT)-based radar m-D signal detection and extraction method is proposed. It is verified by real marine radar that the proposed method can achieve high-resolution and low complexity TFD of m-D signal in time-sparse domain, and has the advantages of high efficiency, good time-frequency resolution, anti-clutter, et al. It can be expected that the proposed methods can provide a novel solution for radar clutter suppression and maneuvering target detection.