Lidar signal de-noising based on wavelet trimmed thresholding technique

作     者：方海涛 黄德双 

作者机构：Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 Automatization Department of University of Science and Technology of China Hefei 230026 Institute of Intelligent Machines Chinese Academy of Sciences Hefei 230031 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2004年第2卷第1期

页      面：1-3页

核心收录：

学科分类：0808[工学-电气工程] 070207[理学-光学] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0803[工学-光学工程] 0702[理学-物理学] 

主　　题：Noise abatement Signal to noise ratio Wavelet transforms 

摘      要：Lidar is an efficient tool for remote monitoring, but the effective range is often limited by signal-to-noise ratio (SNR). By the power spectral estimation, we find that digital filters are not fit for processing lidar signals buried in noise. In this paper, we present a new method of the lidar signal acquisition based on the wavelet trimmed thresholding technique to increase the effective range of lidar measurements. The performance of our method is investigated by detecting the real signals in noise. The experiment results show that our approach is superior to the traditional methods such as Butterworth filter.