全波形激光雷达波形分解方法  

Waveform Decomposition Method for Full-waveform LiDAR

作　　者：侯春艳 陈瑞强 HOU Chunyan;CHEN Ruiqiang(School of Foreign Languages,Huaiyin Institute of Technology,Huai’an Jiangsu 223003,China;School of Electronic Information Engineering,Huaiyin Institute of Technology,Huai’an Jiangsu 223003,China)

机构地区：[1]淮阴工学院外国语学院,江苏淮安223003 [2]淮阴工学院电子信息工程学院,江苏淮安223003

出　　处：《淮阴工学院学报》2024年第5期55-60,共6页Journal of Huaiyin Institute of Technology

基　　金：国家自然科学基金项目“基于隐函数模型的全波型激光雷达波形分解方法研究”(61701266)。

摘　　要：在全波形激光雷达波形分解方法中,数字隐函数模型采用了隐式数学表达式,无法直接得到函数导数,因此提出借助复合函数求导并结合数字模板波形求解雅克比行列式,利用L-M优化算法实现数字隐函数模型参数的最优估计。结果表明:基于粒子群优化算法和L-M优化算法均可获取同等精度的目标回波特征参数估计值,但使用L-M优化算法明显降低了回波波形分解时间。This paper intrudes a waveform decomposition method that to calculate the Jacobian determi⁃nant using derivation rules for compound function and the digital waveform of DIM,and then uses LMO to optimize the parameters of the implicit model in which expression is not known.Experimental results show that the estimation accuracies of the echo component derived from the LMO are nearly identical to those from the PSO.However,the LMO greatly decreases the runtime in the decomposition of the echo waveform.

关 键 词：全波形激光雷达 数字隐函数模型 优化算法 

分 类 号：TN958.98[电子电信—信号与信息处理]