Singularity detection of TWR echoes based on correlation

Xiaoli Chen, Tian Mao, Guo Jing
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引用次数: 1

Abstract

This paper introduces a modified algorithm of singularity detection based on modulus maxima for through-wall radar (TWR) targets detection. By tracking the wavelet transform modulus maxima (WTMM) at fine scales, singularities can be detected, and the important information of human target is also selected. According to the singularities of TWR A-scan signal, it can be commendably given prominence to the targets. Finally, singularity detection based on modulus maxima was successfully realized.
基于相关性的TWR回波奇异性检测
提出了一种基于模极大值的奇异点检测改进算法,用于通壁雷达目标检测。通过小波变换模极大值(WTMM)在精细尺度上的跟踪,可以检测出奇异点,并选择人体目标的重要信息。由于太波共振扫描信号的奇异性,可以很好地突出目标。最后,成功实现了基于模极大值的奇异检测。
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