Single channel convolutive blind source separation for LFM radar signals

IF 1 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Electrical Engineering-elektrotechnicky Casopis Pub Date : 2022-12-01 DOI:10.2478/jee-2022-0052

P. Xu, Yinjie Jia, Xinnian Guo

引用次数: 0

Abstract

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.

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LFM雷达信号的单通道卷积盲源分离

摘要提出了一种基于平滑Wigner-Ville分布(SWVD)时频分析、Canny边缘检测和Hough变换检测的卷积混合线性调频信号单通道盲源分离算法。首先，基于LFM时频特性得到SWVD时频分析图作为图像;其次，对图像进行精细边缘检测。然后，利用霍夫变换检测线性信号的特征参数。最后，恢复源信号。仿真结果表明，该算法对卷积混合LFM信号的单通道检测和提取是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Electrical Engineering-elektrotechnicky Casopis 工程技术-工程：电子与电气

CiteScore

1.70

自引率

12.50%

发文量

审稿时长

6-12 weeks

期刊介绍： The joint publication of the Slovak University of Technology, Faculty of Electrical Engineering and Information Technology, and of the Slovak Academy of Sciences, Institute of Electrical Engineering, is a wide-scope journal published bimonthly and comprising. -Automation and Control- Computer Engineering- Electronics and Microelectronics- Electro-physics and Electromagnetism- Material Science- Measurement and Metrology- Power Engineering and Energy Conversion- Signal Processing and Telecommunications