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Adaptive digital filter for the processing of atmospheric lidar signals measured by imaging lidar techniques

文献类型：期刊论文

作者Liu, Zifan3; Yang, Chenguang2; Gong, Zhenfeng3; Li, Hui1; Mei, Liang3
刊名APPLIED OPTICS
出版日期2020-10-20
卷号59期号:30页码:9454-9463
ISSN号1559-128X
DOI10.1364/AO.405049
英文摘要The lidar signal measured by the atmospheric imaging lidar technique is subject to sunlight background noise, dark current noise, and fixed pattern noise (FPN) of the image sensor, etc., which presents quite different characteristics compared to the lidar signal measured by the pulsed lidar technique based on the time-of-flight principle. Enhancing the signal-to-noise ratio (SNR) of the measured lidar signal is of great importance for improving the performance of imaging lidar techniques. By carefully investigating the signal and noise characteristics of the lidar signal measured by a Scheimpflug lidar (SLidar) based on the Scheimpflug imaging principle, we have demonstrated an adaptive digital filter based on the Savitzky-Golay (S-G) filter and the Fourier analysis. The window length of the polynomial of the S-G filter is automatically optimized by iteratively examining the Fourier domain frequency characteristics of the residual signal between the filtered lidar signal and the raw lidar signal. The performance of the adaptive digital filter has been carefully investigated for lidar signals measured by a SLidar system under various atmospheric conditions. It has been found that the optimal window length for near horizontal measurements is concentrated in the region of 90-150, while it varies mainly in the region of 40-100 for slant measurements due to the frequent presence of the peak echoes from clouds, aerosol layers, etc. The promising result has demonstrated great potential for utilizing the proposed adaptive digital filter for the lidar signal processing of imaging lidar techniques in the future. (C) 2020 Optical Society of America
WOS关键词DIFFERENTIAL ABSORPTION LIDAR ; TO-NOISE RATIO ; DOPPLER LIDAR ; RETRIEVAL ; ALGORITHM ; ENHANCEMENT ; TEMPERATURE ; VALIDATION ; REDUCTION ; SELECTION
资助项目National Natural Science Foundation of China[61705030] ; National Natural Science Foundation of China[62075025]
WOS研究方向Optics
语种英语
WOS记录号WOS:000581917500018
出版者OPTICAL SOC AMER
资助机构National Natural Science Foundation of China
源URL[http://ir.idsse.ac.cn/handle/183446/7920]  
专题深海工程技术部_深海资源开发研究室
通讯作者Mei, Liang
作者单位1.Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
2.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya 572000, Peoples R China
3.Dalian Univ Technol, Sch Optoelect Engn & Instrumentat Sci, Dalian 116024, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Zifan,Yang, Chenguang,Gong, Zhenfeng,et al. Adaptive digital filter for the processing of atmospheric lidar signals measured by imaging lidar techniques[J]. APPLIED OPTICS,2020,59(30):9454-9463.
APA Liu, Zifan,Yang, Chenguang,Gong, Zhenfeng,Li, Hui,&Mei, Liang.(2020).Adaptive digital filter for the processing of atmospheric lidar signals measured by imaging lidar techniques.APPLIED OPTICS,59(30),9454-9463.
MLA Liu, Zifan,et al."Adaptive digital filter for the processing of atmospheric lidar signals measured by imaging lidar techniques".APPLIED OPTICS 59.30(2020):9454-9463.

入库方式： OAI收割

来源：深海科学与工程研究所

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