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基于EMD-DISPO的Mie散射激光雷达回波信号去噪方法研究

The Mie Scattering Lidar Return Signal Denoising Research Based on EMD-DISPO

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摘要

激光雷达回波信号是典型的非稳态、 非平稳信号, 用传统的滤波方法难以对其进行有效地处理。 利用经验模式分解方法(EMD)将信号按照不同的特征时间尺度分解为不同的IMF分量, 将含有噪声的高频IMF分量剔除, 可达到去噪的目的。 但如果简单地将高频分量直接剔除, 有可能造成有效信号的损失。 可提出将EMD方法与Savitzky-Golay滤波器(DISPO)结合的方法, 该方法能在保证信号完整性的同时, 对原始信号进行有效处理。 经仿真数据与实测数据的实验对比分析, 该方法不但有效地去除噪声信号, 而且尽可能地保持了有效信号, 减少了信号损失, 提高了数据处理的准确度。

Abstract

Lidar echo signal is a typical non-steady-state, non-stationary signal, and difficult to be dealt with by the traditional filtering methods. As a new signal processing theory proposed in recent years, empirical mode decomposition method can adaptively divide the lidar echo signal into different intrinsic mode function (IMF) components according to different time scale, and noise mainly concentrates in the high-frequency component. However, when filtered with simply removing high frequency component, the useful signal will be possibly reduced. In the present paper, a new method which combines empirical mode decomposition (EMD) with Savitzky-Golay filter is proposed. With experiments, it is indicated that our approach not only removes the noise component effectively but also maintains the useful signal, then will improve the accuracy in the next phase of data processing.

Newport宣传-MKS新实验室计划
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中图分类号:TN713

DOI:10.3964/j.issn.1000-0593(2011)11-2996-05

基金项目:国家重点基础研究发展计划(973计划)项目(2009CB426302)资助

收稿日期:2011-01-26

修改稿日期:2011-05-21

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作者单位    点击查看

张毅坤:西安理工大学, 陕西 西安710048
麻晓畅:西安理工大学, 陕西 西安710048
华灯鑫:西安理工大学, 陕西 西安710048
陈浩:西安理工大学, 陕西 西安710048
刘才轩:西安理工大学, 陕西 西安710048

联系人作者:张毅坤(ykzhang163@163.com)

备注:张毅坤, 1958年生, 西安理工大学教授

【1】Yin Shirong, Wang Weiran. Lidar Signal Denoising Based on Wavelet Domain Spatial Filtering. 2006 CIE International Conference on Radar, Institute of Electrical and Electronics Engineers Inc., 2007.

【2】Sivakumar Venkataraman. De-Noising LiDAR Signal using Wavelet Technique. Lidar Remote Sensing for Environmental Monitoring Ⅷ. SPIE, P. O. Box 10, Bellingham WA, WA 98227-0010, United States, 2007. 6681.

【3】Huang N E, Shen Z, Long S R, et al. The Empirical Node Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Tile Series Analysis. Proc Roy Soc, London A, 1998, 454: 903.

【4】YANG Yong-feng, REN Xing-min, QIN Wei-yang(杨永锋, 任兴民, 秦卫阳). Acta Physica Sinica(物理学报), 2008, 57: 6139.

【5】CHEN Kai(陈凯). Oil Geophysical Prospecting(石油地球物理勘探), 2009, 44(5): 603.

【6】GONG Zhi-qiang, ZOU Ming-wei, GAO Xin-quan(龚志强, 邹明玮, 高新全). Acta Physica Sinica(物理学报), 2005, 54: 3947.

【7】Liu Zhishen, Zhang Na, Wang Ruibin. Optical Engineering, 2007, 46(2): .

【8】LIU Zeng-dong, LIU Jian-guo, LU Yi-huai(刘增东, 刘建国, 陆亦怀). Optical Engineering(光电工程), 2008, 35(6): 79.

【9】Wu Z, Huang N E. Proc. Royal Society of London Proceedings Series A, 2003, 2046(460): 1597.

【10】Ruffin C, King R L. The Analysis of Hyperspectral Data using Savitzky-Golay Filtering-Theoretical Basis. Geoscience and Remote Sensing Symposium, 1999. IGARSS’99 Proceedings, 1999, 2(2): 756.

引用该论文

ZHANG Yi-kun,MA Xiao-chang,HUA Deng-xin,CHEN Hao,LIU Cai-xuan. The Mie Scattering Lidar Return Signal Denoising Research Based on EMD-DISPO[J]. Spectroscopy and Spectral Analysis, 2011, 31(11): 2996-3000

张毅坤,麻晓畅,华灯鑫,陈浩,刘才轩. 基于EMD-DISPO的Mie散射激光雷达回波信号去噪方法研究[J]. 光谱学与光谱分析, 2011, 31(11): 2996-3000

被引情况

【1】王欢雪,刘建国,张天舒,董云升. 一种基于交叉证认和经验模态分解的滤波算法及其在激光雷达回波信号降噪处理中的应用. 中国激光, 2014, 41(10): 1014001--1

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