Lidar signal de-noising based on wavelet trimmed thresholding technique

Fang Haitao Huang Deshuang

文摘	Lidar is an efficienttool for remote monitoring, but the effective range is often limited by signal-to-noise ratio (SNR). By the power spectralestimation, 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. Theexperiment results show that our approach is superior to the traditional methods such as Butterworth filter.
来源	Chinese Optics Letters ,2004,2(1):1-3 【核心库】
地址	Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031
语种	英文
文献类型	研究性论文
ISSN	1671-7694
学科	电子技术、通信技术
文献收藏号	CSCD:1844941