太原理工大学信息工程学院
纸质出版:2015
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[1]薛缠明,李丽宏.小波分析在激光测距传感器中的应用[J].传感器与微系统,2015,34(06):151-152+160.
XUE Chan-ming, LI Li-hong. Application of wavelet analysis in laser ranging sensor[J]. 2015, 34(6): 151-152+160.
[1]薛缠明,李丽宏.小波分析在激光测距传感器中的应用[J].传感器与微系统,2015,34(06):151-152+160. DOI: 10.13873/J.1000-9787(2015)06-0151-02.
XUE Chan-ming, LI Li-hong. Application of wavelet analysis in laser ranging sensor[J]. 2015, 34(6): 151-152+160. DOI: 10.13873/J.1000-9787(2015)06-0151-02.
激光宽高检测系统利用激光测距原理对行驶车辆的宽高进行检测
而所测信号掺杂有较大的车辆边缘光噪声
降低了系统的测量准确性。鉴于小波分析的时频局部特性
将小波分析法应用到消除高频光噪声干扰的应用中
提高激光车辆宽高检测系统的准确性
并通过Matlab中小波分析工具仿真和实际验证
证明可以消除光噪声对系统的影响和达到提高测量准确度的目的。
Laser width-height detection system uses laser ranging principle to detect width and height of moving vehicle
and the measured signal is mixed larger vehicles edge optical noise
which reduce measurement accuracy of system. In view of time-frequency local properties of wavelet analysis
wavelet analysis method is applied to application of high-frequency optical noise interference eliminating
to improve accuracy of width-height of vehicle laser detection system. And through simulation and verification of wavelet analysis tool in Matlab
prove that eliminate influence of light and noise on the system has reached the purpose of improving measurement accuracy.
自适应滤波算法在车辆宽高检测系统中的应用研究 [J]. 陈元朝,李丽宏. 中国测试 . 2014(02)
基于小波去噪的微弱信号提取 [J]. 刘正平,冯召勇,杨卫平. 制造业自动化 . 2010(08)
激光扫描点云图像背景交互式滤除 [J]. 李永强,盛业华,刘会云,戴华阳. 测绘科学 . 2008(01)
基于小波变换奇异信号检测的研究 [J]. 张小飞,徐大专,齐泽锋. 系统工程与电子技术 . 2003(07)
Matlab小波分析工具箱原理与应用[M]. 国防工业出版社 , 董长虹主编, 2004
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