基于奇异谱分析的GNSS-MR雪深反演  

GNSS-MR snow depth inversion based on singular spectrum analysis

作　　者：范兴群 刘立龙 薛张芳[1,2] 吴昊舰 吴晗 FAN Xingqun;LIU Lilong;XUE Zhangfang;WU Haojian;WU Han(College of Geographics and Geoinformation,Guilin University of Technology,Guilin 541006,China;Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin University of Technology,Guilin 541006,China;Surveying and Mapping Team of East China Metallurgical Geological Exploration Bureau,Hefei 230088,China)

机构地区：[1]桂林理工大学测绘地理信息学院,广西桂林541006 [2]桂林理工大学广西空间信息与测绘重点实验室,广西桂林541006 [3]华东冶金地质勘查局测绘总队,合肥230088

出　　处：《桂林理工大学学报》2025年第1期82-86,共5页Journal of Guilin University of Technology

基　　金：国家自然科学基金项目(42064002;41664002);广西自然科学基金项目(2018GXNSFAA294045)。

摘　　要：针对当前二次多项式难以准确拟合信噪比趋势导致反演结果偏差较大的问题,引入奇异谱分析方法对原始SNR信号分解重构,得到高质量的SNR有效残差序列,再利用全球卫星导航系统多路径反射测量技术进行雪深反演。为验证该方法的可行性和有效性,选取P351测站2015—2016年GNSS观测数据进行实验,结果表明:基于SSA方法的单星和多星反演雪深结果都优于二次多项式反演雪深,其反演结果与实测值均方根误差分别为11、10 cm,相关系数为0.9862、0.9926;与二次多项式方法反演结果相比,均方根误差分别降低了31.2%、28.5%,验证了该方法运用于GNSS-MR雪深反演的可行性和有效性。In view of the problem that the current quadratic polynomial is difficult to accurately fit the SNR trend,which leads to a large deviation in the inversion results,the SSA method is introduced to decompose the original SNR signal.Then,the GNSS-MR technology is used for snow depth inversion.In order to verify the feasibility and effectiveness of the method,the GNSS observation data of P351 station from 2015 to 2016 are selected for experiments.The results show that the single and multi-satelite inversion based on the SSA method are better than the quadratic polynomial inversion.Snow depth,the root mean square errors of the inversion results and the measured values are 11 and 10 cm,respectively,and the correlation coefficients are 0.9862 and 0.9920.Compared with the inversion results of the quadratic polynomial method,the root mean square errors are reduced by 31.2%and 28.5%,respectively,which verifies the feasibility and effectiveness of the method applied to GNSS-MR snow depth inversion.

关 键 词：GNSS-MR 奇异谱分析 多路径效应 积雪深度 

分 类 号：P228.41[天文地球—大地测量学与测量工程]