Feature Extraction of Symmetrical Triangular LFMCW Signal Using Wigner-Hough Transform

被引：18

作者：

刘锋 ^{[1
,2
]}

徐会法 ^{[2
]}

孙大鹏 ^{[2
]}

陶然 ^{[1
]}

王越 ^{[1
]}

机构：

[1] School of Information and Electronics, Institute of Technology

[2] Department of Electronic Engineering, Naval Aeronautical Engineering Institute

来源：

Journal of Beijing Institute of Technology | 2009年 / 18卷 / 04期

关键词：

symmetrical triangular LFMCW signal; signal detection; Wigner-Hough transform (WHT); parameter estimation;

D O I：

10.15918/j.jbit1004-0579.2009.04.019

中图分类号：

TN911.7 [信号处理];

学科分类号：

0711 ; 080401 ; 080402 ;

摘要：

Feature extraction of symmetrical triangular linear frequency modulation continu ous wave (LFMCW) signal is studied. Combined with its peculiar characteristics, a novel algorithm based on Wigner-Hough transform (WHT) is presented for the de tection and parameter estimation of this type of waveform. The initial frequency and chirp rate of each segment of this wave are estimated, and the peak-value searching steps in the parameter space is given. Compared with Wigner-Ville dis tribution (WVD), Pseudo-Wigner-Ville distribution (PWD) and Smoothed-Peseudo -Wigner-Ville distribution (SPWD), WHT has proven itself to be the best method for feature extraction of symmetrical triangular LFMCW signal. In the end, Mont e-Carlo simulations under different SNRs are carried out, with validating resul ts on this method.

引用

页码：478 / 483

页数：6

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