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基于人群搜索算法的机载激光雷达回波波形分解

Waveform Decomposition of Echoes for Airborne Lidar Based on Seeker Optimization Algorithm

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摘要

为提高机载激光雷达回波信号的分解精度,以偏正态分布函数作为拟合基函数,采用层层剥离策略以及人群搜索算法与全局收敛LM算法相结合的方法,实现了机载激光雷达回波信号的波形分解,并通过实验加以验证。结果表明:回波信号可被分解为一系列偏正态分布函数的叠加,获得了信号幅值、中心位置、半宽和偏态系数等关键参数;拟合波形和回波信号的相关系数均在99%以上,波形分解精度得以有效提高。所提方法能够实现全波形机载激光雷达回波信号的精确分解。

Abstract

In order to improve the waveform decomposition precision of echoes for the airborne lidar, the waveform decomposition of echo signals for the airborne lidar is realized and also experimentally verified by taking the skewed normal distribution functions as fitting basis functions and by means of the layer stripping strategy as well as the combination of the seeker optimization algorithm and the LM algorithm with global convergence. The results show that the echo signal can be decomposed into the superposition of a series of skewed normal distribution functions and the key parameters such as signal amplitude, central position, half width and skewness coefficient can be obtained. The correlation coefficients of the fitted waveform and the echo signal are both larger than 99%, indicating an effective improvement of waveform decomposition precision. The proposed method can be used to realize the accurate decomposition of echo signals for the full-waveform airborne lidar.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:P208

DOI:10.3788/cjl201845.1110004

所属栏目:遥感与传感器

基金项目:国家自然科学基金(51403034)

收稿日期:2018-04-15

修改稿日期:2018-06-27

网络出版日期:2018-07-03

作者单位    点击查看

沈俊:东华大学信息科学与技术学院, 上海 201620中国科学院上海微系统与信息技术研究所微系统技术重点实验室, 上海 200050
尚建华:东华大学信息科学与技术学院, 上海 201620
孙嘉曈:东华大学信息科学与技术学院, 上海 201620
贺岩:中国科学院上海光学精密机械研究所空间激光传输与探测重点实验室, 上海 201800

联系人作者:尚建华(jhshang@dhu.edu.cn)

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引用该论文

Shen Jun,Shang Jianhua,Sun Jiatong,He Yan. Waveform Decomposition of Echoes for Airborne Lidar Based on Seeker Optimization Algorithm[J]. Chinese Journal of Lasers, 2018, 45(11): 1110004

沈俊,尚建华,孙嘉曈,贺岩. 基于人群搜索算法的机载激光雷达回波波形分解[J]. 中国激光, 2018, 45(11): 1110004

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