米散射激光雷达降噪反演算法研究和应用  

Research and Application of Denoising Algorithm for Mie Lidar Signal

作　　者：张猛 张晓莉 金钊 刘洋 胡源[1] Zhang Meng;Zhang Xiaoli;Jin Zhao;Liu Yang;Hu Yuan(State Key Laboratory of Fire Science,University of Science and Technology of China,Hefei 230026,Anhui,China;Hefei Zhongke Environmental Monitoring Technology National Engineering Laboratory Co.,Ltd.,Hefei 230088,Anhui,China;Institutes of Physical Science and Information Technology,Anhui University,Hefei 230039,Anhui,China;Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,Anhui,China)

机构地区：[1]中国科学技术大学火灾科学国家重点实验室,安徽合肥230026 [2]合肥中科环境监测技术国家工程实验室有限公司,安徽合肥230088 [3]安徽大学物质科学与信息技术研究院,安徽合肥230039 [4]中国科学院安徽光学精密机械研究所,安徽合肥230031

出　　处：《激光与光电子学进展》2023年第20期255-262,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(51991352);合肥市蜀山区环境监测仪器与应急处理设备重大新兴产业专项。

摘　　要：针对激光雷达信号中含有的噪声,提出一种将数据分区使用小波包变换分解和重构算法的信号降噪方法,该方法能为下一级消光系数反演提供高质量数据。为了验证该方法的有效性,比较雷达原始数据、小波包处理后反演的消光系数、分区小波包处理后反演的消光系数的差异,并进一步使用Bump、Block测试信号进行数值模拟,定量分析了分区小波包算法的去噪效果。分区小波包算法处理的Bump、Block测试信号评价函数的均方误差(MSE)和R值均优于一般小波包结果。结果表明,分区小波包降噪方法能通过降噪改善下一级反演消光系数结果,有效保护低空的激光雷达消光廓线的细节结构并抑制高空的信号噪声。空气气溶胶消光系数随时间和空间变化的伪彩图表明了所提方法的可行性和实用性。In this paper,to manage the lidar signal noise,an effective denoising method of wavelet packet transform decomposition and reconstruction based on data segmentation is proposed.This can provide high-quality data for extinction coefficient retrieval.Herein,to verify the proposed denoising method feasibility,the differences between the original radar data,the extinction coefficient retrieved after wavelet packet processing,and the extinction coefficient retrieved after segmented wavelet packet processing were compared.In the numerical simulation using Bump and Block test signals,the value of mean square error(MSE) and R of the wavelet packet algorithm based on data segmentation was found to be better than that of the other wavelet packet algorithms.The corresponding experimental result indicates that the segmented wavelet packet denoising method can improve the results of the next-level inversion extinction coefficient via denoising,effectively protect the detailed structure of the low-altitude lidar extinction profile,and suppress the noise at high altitudes.Furthermore,the changing of the extinction coefficient pseudo-color image of air aerosol with time and space shows the feasibility and usefulness of the proposed method.

关 键 词：信号 小波变换 降噪 消光系数 

分 类 号：O436[机械工程—光学工程]