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光强闪烁激光雷达的背景噪声分析
引用本文:崔朝龙,黄宏华,陶宗明,饶瑞中.光强闪烁激光雷达的背景噪声分析[J].量子电子学报,2013,30(5):628-634.
作者姓名:崔朝龙  黄宏华  陶宗明  饶瑞中
作者单位:1 中国科学院安徽光学精密机械研究所中国科学院大气成分与光学重点实验室,安徽 合肥 230031; 2 中国科学院大学,北京 100039
摘    要:介绍了光强闪烁 激光雷达回波信号中背景噪声的分类,通过某次实验中实验条件的变化,获得了采集卡本底噪声、放大器本底噪声、PMT本底噪声、自然背景光噪声和散粒噪声等不同背景噪声叠加在一起的大小和方差信息,以及不同噪声各自本身的方差信息。通过不同噪声之间的比较,发现在未接收激光大气散射回波信号时,放大器本底噪声占主导,自然背景光噪声相对于其他噪声是小量;在接收散射回波信号时,近距离内(低层通道2km,高层通道4km)散粒噪声占主导,远距离上处于弱势。实验结果确定了不同噪声对总背景噪声的贡献程度,为光强闪烁激光雷达从散射回波信号中提取大气湍流信息提供了依据,也为消除噪声对有效信号的影响提供了指导。

关 键 词:大气光学  激光雷达噪声  方差  噪声比例因子(NSF)
收稿时间:2012-11-13
修稿时间:2013-01-15

Analysis of noise in residual turbulent scintillation lidar
CUI Chao-long,HUANG Hong-hua,TAO Zong-ming,RAO Rui-zhong.Analysis of noise in residual turbulent scintillation lidar[J].Chinese Journal of Quantum Electronics,2013,30(5):628-634.
Authors:CUI Chao-long  HUANG Hong-hua  TAO Zong-ming  RAO Rui-zhong
Affiliation:1 Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences,Hefei 230031, China; 2 University of Chinese Academy of Sciences, Beijing 100039 , China
Abstract:The classification of noise in the returned signal of RTS(Residual Turbulent Scintillation) lidar was introduced. Based on changing condition of experimental status, the amplitude and variance of different sum of the baseline of A/D card, amplifier, PMT, background noise and shot noise was acquired, and so was themselves. By comparison of different noise, it is found that the baseline of amplifier is primary and background noise is small when telescope don’t receive atmospheric scattering signal. When telescope receives scattering signal, the shot noise is primary in near range (2km for near channel and 4km for far channel), and is small in far range. The experiment results determine different impact of different noise on total noise, and provide suggestion on acquiring atmospheric turbulence form returned signal of RTS lidar , as also as reducing influence of noise on effective signal.
Keywords:atmospheric optics  lidar noise  variance  noise scale factor
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