激光测距复杂重叠回波信号解算方法OA
Laser Ranging Complex Overlapping Echo Signal Solution Method
针对目前分解复杂全波形激光雷达回波信号出错的问题,提出了基于波形拐点分布的高斯分解方法.首先按返回激光强度由高到低逐步递进对目标回波数据进行分解,再按照目标波形曲线拐点分布状态采用不同标准差解算方法实现精准波形分解,最后利用Levenberg Marquardt分线性最小二乘算法进行拟合得到准确的模拟波形.为验证该方法对波形数据分解的精度,分别采用存在微弱叠加波形、复杂叠加波形和模拟复杂叠加波形等数据进行实验,并与现有常用方法进行比对.结果表明,该方法分解的图像贴合程度和精度评价指标均优于其他方法,能准确有效地分解复杂回波信号.
Aiming at the problem of error in decomposing the echo signal of complex full waveform LiDAR,we proposed a Gaussian decomposition method based on waveform inflection point distribution.We decomposed the target echo data step by step according to the return laser intensity from high to low at first.Then,according to the inflection point distribution state of target waveform curve,we used different standard deviation solution methods to achieve accurate waveform decomposition.Finally,we used Levenberg Marquardt sub-linear least squares algorithm for fitting to obtain accurate simulation waveform.In order to verify the accuracy of this method for waveform data decomposition,we used the weak overlapping waveform data and the complex overlapping waveform data to conduct experiments respectively,and compared with the existing commonly used methods.The experimental results show that the proposed method is superior to other methods in terms of the degree of image fitting and accuracy evaluation index of decomposed image,and can accurately and effectively decompose the complex echo signal.
杨小东;张振宇;施颢;柳东升
园测信息科技股份有限公司,江苏 苏州 215000园测信息科技股份有限公司,江苏 苏州 215000江苏省基础地理信息中心,江苏 南京 210013浙江省隧道工程集团有限公司,浙江 杭州 310000
天文与地球科学
激光雷达复杂回波波形分解
LiDARcomplex echowaveform decomposition
《地理空间信息》 2026 (1)
7-12,25,7
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