Single channel convolutive blind source separation for LFM radar signals

Pengfei Xu – Yinjie Jia – Xinnian Guo

   We propose a single channel blind source separation algorithm for convolutively mixed linear frequency modulation (LFM) signals based on smoothed Wigner-Ville distribution (SWVD) time-frequency analysis, Canny edge detection, and Hough transform detection. First, the SWVD time-frequency analysis diagram is obtained as an image based on the LFM time-frequency characteristics. Second, Canny edge detection is performed on the image. Then, Hough transform is used to detect the characteristic parameters of the linear signal. Finally, the source signal is recovered. The simulation results show that the algorithm is effective for single channel detection and extraction of convolutively mixed LFM signals.

Keywords: convolutive blind source separation, single channel, time-frequency distributions, smoothed Wigner-Ville distribution, Canny edge detection, Hough transform, line detection, linear frequency modulation signal

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