现代电子技术2024，Vol.47Issue(17)：53-57,5.DOI:10.16652/j.issn.1004-373x.2024.17.009
基于变分模态分解和奇异谱分析的激光雷达信号去噪方法
LiDAR signal noise reduction algorithm based on variational mode decomposition and singular spectrum analysis
摘要
Abstract
The LiDAR signals often contain more noise,which not only degrades the signal quality,but also affects the subsequent cloud-aerosol layer detection and aerosol optical thickness inversion.In view of this,a LiDAR signal noise reduction method based on variational mode decomposition(VMD)is improved.The correlations between the mode components and the LiDAR signals are taken into account.The effective signals in the mode components are extracted by the method of Pearson correlation coefficient(PCC).In terms of the low and medium frequency oscillations after the implementation of VMD,secondary filtering is performed with singular spectrum analysis(SSA)to further improve the signal-to-noise ratio(SNR).The effectiveness of the proposed method is verified.The satellite-borne LiDAR noise-containing signals with different SNRs when it is clear or cloudy are simulated.The wavelet transform(WT),the local empirical mode decomposition(EMD),the traditional VMD method and the proposed method are adopted to perform the noise reduction process,and their performances of noise reduction are contrasted.The experimental results show that the improved VMD method can improve the SNR of LIDAR signals effectively.关键词
激光雷达/变分模态分解/奇异谱分析/经验模态分解/小波变换/去噪Key words
LiDAR/VMD/SSA/EMD/WT/denoising分类
电子信息工程引用本文复制引用
牛克金,邓文彬..基于变分模态分解和奇异谱分析的激光雷达信号去噪方法[J].现代电子技术,2024,47(17):53-57,5.基金项目
国家自然科学基金项目(51868074) （51868074）
新疆维吾尔自治区自然科学基金资助项目(2022D01C55) （2022D01C55）
