<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

Single channel convolutive blind source separation for LFM radar signals

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Single channel convolutive blind source separation for LFM radar signals"}

We propose a single channel blind source separation algorithm for convolutively mixed linear frequency modulation (LFM) signals based on smoothed Wigner-Ville...

Single channel convolutive blind source separation for LFM radar signals

Online veröffentlicht: 24. Dez. 2022

Seitenbereich: 378 - 386

Eingereicht: 31. Okt. 2022

DOI: https://doi.org/10.2478/jee-2022-0052

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

© 2022 Pengfei Xu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Single channel convolutive blind source separation for LFM radar signals

Online veröffentlicht: 24. Dez. 2022

Seitenbereich: 378 - 386

Eingereicht: 31. Okt. 2022

DOI: https://doi.org/10.2478/jee-2022-0052

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

© 2022 Pengfei Xu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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