小波变换在回波信号检测中的应用

The application of wavelet transform in the detection of backscatter signal

基于小波变换品质因数不变性的特点,结合适当的小波基,探讨小波变换在回波信号检测中的算法。在算法分析基础上,从检测原理、检测步骤、计算机仿真方面阐述如何利用小波变换检测回波信号时差,以确定回波信号的奇异点(回波信号到达时间点),进而确定被探测目标的位置。小波变换具有表征信号局部特征的能力,适于分析信号中的瞬态和奇异现象,并可展示其成份。所述的算法分析、小波基的选择及小波变换阶的选择等,为地下目标探测中的信号处理,提供了算法依据和应用方法参考。

Based on invariability of the quality factor of wavelet transform, combined with proper wavelet group, this paper discusses the application of wavelet transform in the detection of backscatter signal. On the basis of algorithm analysis, from aspects of detecting principle, detecting steps and computer emulation, the authors expatiate how to use wavelet transform to detect backscatter signals' time difference and find the fantastic point of backscatter signal (the time point when backscatter signal reaches), finally to find the location of the object being detected. Wavelet transform has the ability of denoting local signal characteristics, so it is fit to analyzing instantaneous and fantastic phenomena and can lay out signal components. The method in this paper will supply an algorithm gist and a reference for the signal processing in the detection of underground target.