中国激光, 2009, 36 (5): 1068, 网络出版: 2009-05-22
Mie散射激光雷达大气回波信号经验模式分解算法的研究与应用
Empirical Mode Decomposition Algorithm Research & Application of Mie Lidar Atmospheric Backscattering Signal
激光雷达 大气回波 信号提取 经验模式分解算法 lidar atmospheric backscattering signal signal extraction empirical mode decomposition algorithm
摘要
详细论述了经验模式分解(EMD)的激光雷达大气回波信号降噪信号处理方法, 并进行系统仿真及实验验证。这种基于ＥＭＤ的去噪算法适合处理含有脉冲的信号(如Block,Bump和脉冲回波信号等)。通过利用该算法对米(Mie)散射激光雷达大气回波信号进行分析处理, 其结果表明该去噪方法能去除大气回波中含有的噪声, 能为下一级消光系数反演提供高信噪比(SNR)的初始数据。
Abstract
A noise reduction signal processing method of lidar atmospheric backscattering signal with the empirical mode decomposition (EMD)is propased, and the simulation in the system is confirmed by experiment. The noise reduction algorithm based on EMD is suitable for processing of pulse signal (e.g., Block, Bump, and pulse echoing, etc.). The algorithm is used for analyzing and processing Mie lidar atmospheric backscattering signal. It shows that the noise reduction method can reduce the noise in the atmospheric backscattering signal and provide primary data of high signal-to-noise ratio (SNR) for the extinction coefficient retrieval at the next level.
郑发泰, 华灯鑫, 周阿维. Mie散射激光雷达大气回波信号经验模式分解算法的研究与应用[J]. 中国激光, 2009, 36(5): 1068. Zheng Fatai, Hua Dengxin, Zhou Awei. Empirical Mode Decomposition Algorithm Research & Application of Mie Lidar Atmospheric Backscattering Signal[J]. Chinese Journal of Lasers, 2009, 36(5): 1068.
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