大气与环境光学学报2025，Vol.20Issue(3)：385-398,14.DOI:10.3969/j.issn.1673-6141.2025.03.011
基于SVMD-SVD算法的激光雷达信号去噪方法
Lidar signal denoising method based on SVMD-SVD algorithm
摘要
Abstract
In practical applications,lidar signals are often subject to interference from solar background light and the dark current of photodetectors,which compromises the accuracy and reliability of data.To effectively eliminate the noise within the signal,this paper introduces a denoising method based on successive variational mode decomposition(SVMD)and singular value decomposition(SVD).Firstly,the red-tailed hawk(RTH)algorithm is employed to optimize the parameters of SVMD,enabling a more precise decomposition of lidar signals and extraction of intrinsic mode functions(IMFs).Then,the entropy of each IMF is assessed by calculating permutation entropy(PE),which is categorized into effective components and noise component,and the effective component will be undergone SVD-based denoising.Simulation and empirical results demonstrate that,compared with the other methods,the proposed method yields the smoothest signal waveform after denoising,with the highest signal-to-noise ratio and the lowest root mean square error,and can effectively suppresses long-distance noise without distortion,showing superior denoising performance under the same conditions.关键词
激光雷达/噪声处理/逐次变分模态分解/奇异值分解Key words
lidar/noise processing/successive variational mode decomposition/singular value decomposition分类
大气科学引用本文复制引用
冯永富,李红旭..基于SVMD-SVD算法的激光雷达信号去噪方法[J].大气与环境光学学报,2025,20(3):385-398,14.基金项目
江苏省基础研究计划重点项目(BK20243021),江苏省产学研合作项目(BY20230745),江苏省高等学校基础科学研究面上项目(22KJB510043),无锡学院引进人才科研启动专项经费(550222001,550221028,550223012) （BK20243021）
