激光雷达信号小波降噪算法参数选取规则  

The parameter selection of wavelet de-noising algorithm for lidar backscattering signal

作　　者：康圣[1,2] 王江安[2] 陈冬[2] 蒋冰莉[3] 王乐东[2] 

机构地区：[1]海军91653部队 [2]海军工程大学电子工程学院 [3]华中科技大学光电子科学与工程学院

出　　处：《舰船科学技术》2012年第2期86-89,共4页Ship Science and Technology

基　　金：总装备部军用测试仪器型号资助项目(I17B200715)

摘　　要：对激光雷达信号降噪算法进行研究,分析指出小波分解降噪算法能较好地对其进行信号处理。重点对小波降噪算法参数选取进行研究,利用激光雷达仿真信号为例进行仿真实验。结果表明,选用尺度参数为4的coif4小波为基函数,采用启发式阈值的软阈值处理效果较好。该降噪算法能在能量损失较低的前提下极大提高信噪比,为后续的数据分析提供更多高精度数据进而提高探测精度。The de-noising method of lidar backscatter signals is discussed in this paper. In order to detect the lidar weak signals buried in noises, it was pointed out that the wavelet transform method is an efficient tool for lidar signal analysis after analysis. This paper particularly studies the method for parameter selection of wavelet de-noising algorithm. Utilizing the simulated lidar backscatter signals, the simulation experiment has been carried out. The results showed that, it can lose less energy and substantial increase signal to noise ratio using this algorithm. On this premise, it can provide more high accuracy data and increase detection accuracy.

关 键 词：激光雷达 信号处理 小波变换 降噪 

分 类 号：TN958.98[电子电信—信号与信息处理]