顾及RMLE的GNSS时序噪声特性及环境负载修正

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中文摘要：针对环境负载易对全球卫星导航系统(GNSS)站坐标时序修正前后噪声模型特性及其站速度造成影响的问题,提出一种顾及约束最大似然估计(RMLE)的 GNSS 时序噪声特性及环境负载修正方法:选用 206 个连续 13 a 的 GNSS站时间序列,采用改进的贝叶斯信息模型估计准则,利用约束最大似然估计(RMLE)方法探讨和分析大气压负载、非海洋潮汐负荷、积雪负载及土壤水负载等环境负载对 GNSS 时序修正前后噪声模型特性及其站速度的影响.结果表明:经环境负载修正后,GNSS时序中的噪声主要表现为闪烁噪声+白噪声(FNWN)与幂律噪声+白噪声(PLWN),北(N)、东(E)、天(U)3 个分量上噪声模型修正前后分别有约 19.9%、36.5%、40.8%的噪声模型发生变化,N、E、U 分量上分别有 96.6%、84.5%、88.3%的测站速度不确定度减小,对垂直速度估计的最大影响可达 0.5 mm/a;证明环境负载修正能够提高速度估值的精度.

外文标题：GNSS time series noise characteristics and environmental loading correction considering RMLE algorithm

外文摘要：Aiming at the problem that the environmental loads are easy to affect the characteristics of noise models and station speeds before and after the global navigation satellite system(GNSS)station coordinate time series correction,the paper proposed a method of GNSS time series noise characteristics and environmental loading correction considering RMLE algorithm:an improved Bayesian information model estimation criterion was put forward with the selected time series of 206 GNSS stations for 13 consecutive years,and the effects of the environmental loads including atmospheric pressure loading,non-tidal ocean loading,snow cover mass loading and soil moisture mass loading on noise model characteristics and station speed before and after GNSS time series correction were discussed and analyzed by using restricted maximum likelihood estimation(RMLE)algorithm.Results showed that after environmental load correction,the noise in GNSS timing series would mainly be manifested as flicker noise + white noise(FNWN)and power law noise + white noise(PLWN),moreover,before and after the correction of the noise model on the North(N),East(E)and Upper(U)components,about 19.9%,36.5%and 40.8%of the noise models would have changed,respectively,meanwhile,on the N,E and U components,96.6%,84.5%and 88.3%of the station speed uncertainty would have decreased,with a maximum impact up to 0.5 mm/a on vertical speed estimation,which verifies that the environmental load correction could improve the accuracy of speed estimation.

外文关键词：

time seriesenvironmental loadrestricted maximum likelihood estimation(RMLE)random noise characterization

作者：

孙喜文、鲁铁定、贺小星、黄佳慧

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作者单位：

东华理工大学测绘与空间信息工程学院,南昌 330013

东华理工大学自然资源部环鄱阳湖区域矿山环境监测与治理重点实验室,南昌 330013

江西理工大学土木与测绘工程学院,江西赣州 341000

关键词：

时间序列环境负载约束最大似然估计(RMLE) 随机噪声特性分析

基金：

国家自然科学基金项目国家自然科学基金项目国家自然科学基金项目国家自然科学基金项目江西省主要学科学术和技术带头人培养计划项目东华理工大学研究生创新专项基金项目

项目编号：

4237404042061077421040234236400220225BCJ23014DHYC-202304

出版年：

2024

DOI：

10.16547/j.cnki.10-1096.20240103

导航定位学报

CSTPCD北大核心

影响因子：0.72

ISSN：

年,卷(期)：2024.12(1)

参考文献量26