[1]邓华,蔡迎春,张蓓..小波变换在路用雷达信号处理中的应用[J].郑州大学学报(工学版),2002,23(01):101-103.[doi:10.3969/j.issn.1671-6833.2002.01.028]
　DENG Hua,Cai Yingchun,ZHANG Bei.Application of wavelet transform in road radar signal processing[J].Journal of Zhengzhou University (Engineering Science),2002,23(01):101-103.[doi:10.3969/j.issn.1671-6833.2002.01.028]
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小波变换在路用雷达信号处理中的应用()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
23卷
期数:
2002年01期
页码:
101-103
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Application of wavelet transform in road radar signal processing
作者:
邓华; 蔡迎春; 张蓓.
郑州大学环境与水利学院,河南,郑州,450002, 重庆大学工程力学系,重庆,400044
Author(s):
DENG Hua; Cai Yingchun; ZHANG Bei
关键词:
小波变换;  探地雷达;  信号处理;  Mallat算法;  小波包算法
Keywords:
DOI:
10.3969/j.issn.1671-6833.2002.01.028
文献标志码:
A
摘要:
脉冲探地雷达回波信号是典型的非平稳、非线性信号,采样信号中不可避免地带有各种噪声,需进行适当处理.小波变换时频局域性好,是分析非平稳信号的有效工具之一.系统地阐述了小波变换的基本理论,并采用Mallat算法、小波包算法对雷达检测路面厚度的实测信号进行分析处理,然后进行路面层厚度计算,最后将计算结果与实际厚度相比较.对比结果说明了小波分析应用于路用探地雷达回波信号处理的有效性.
Abstract:
The pulsed GPR echo signal is a typical non-stationary and nonlinear signal, and the sampling signal inevitably carries various noises, which need to be properly processed. Wavelet transform has good time-frequency locality and is one of the effective tools for analyzing non-stationary signals. The basic theory of wavelet transform is systematically expounded, and the measured signal of radar detection of pavement thickness is analyzed and processed by Mallat algorithm and wavelet packet algorithm, and then the pavement layer thickness is calculated, and finally the calculation result is compared with the actual thickness. The comparative results show the effectiveness of wavelet analysis in road GPR echo signal processing.

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更新日期/Last Update: 1900-01-01