GNSS时序噪声模型估计准则可靠性分析  

Reliability analysis of estimation criteria for GNSS time series noise model

作　　者：黄佳慧 贺小星 王杰[1] 杨圣博 孙喜文 HUANGJiahui;HE Xiaoxing;WANG Jie;YANG Shengbo;SUN Xiwen(School of Civil and Mapping Engineering,Jiangxi Institute of Technology,Ganzhou,Jiangxi 341000,China;School of Civil Engineer and Architecture,East China Jiaotong University,Nanchang 330013,China;School of Surveying and Geoinformation Engineering,East China University of Technology,Nanchang 330013,China)

机构地区：[1]江西理工大学土木与测绘工程学院,江西赣州341000 [2]华东交通大学土木建筑学院,南昌330013 [3]东华理工大学测绘工程学院,南昌330013

出　　处：《测绘科学》2023年第7期39-45,共7页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(42104023);江西省主要学科学术和技术带头人培养计划项目(20225BCJ23014);江西理工大学研究生教育教学改革项目(YJG2022006);江西理工大学高层次人才科研启动项目(205200100564)。

摘　　要：针对GNSS时间序列噪声难辨识问题,该文仿真100组不同时间跨度FNWN、PLWN、GGMWN、RWFNWN噪声背景的高程时间序列,并AIC、BIC、BIC_tp噪声模型估计准则进行分析,论证不同估计准则的可靠性、适用性,并进一步探讨了时间跨度与噪声模型对站速度估计的影响。结果表明:AIC对RW、PL噪声分量比较敏感,相比其他准则更容易辨识出坐标序列中存在的RW噪声;当时间跨度大于20a时,AIC、BIC、BIC_tp模型估计准则的准确识别率一致性较好;对于FNWN模型,AIC估计准则的辨识率较差。随着时间跨度的增加,GNSS站速度的确定精度逐步提高。不同噪声模型假设下,站速度不确定度存在较大差异,准确的噪声模型辨识是获取可靠的站速度及不确定度的关键。In order to address the problem of difficult discernment of noise in GNSS time series,this study simulated 100sets of GNSS time series with different time spans of FNWN,PLWN,GGMWN,and RWFNWN noise backgrounds.The AIC,BIC,and BIC_tp noise model estimation criteria were analyzed to demonstrate their reliability and applicability.Furthermore,the impact of time span and noise models on station velocity estimation was explored.The results indicate that AIC is more sensitive to RW and PL noise components and is more capable of identifying the presence of RW noise in coordinate sequences compared to other criteria.When the time span exceeds 20a,AIC,BIC,and BIC_tp estimation criteria consistently exhibit good accuracy in identification.For the FNWN model,the identification rate of the AIC estimation criterion is poor.As the time span increases,the determination accuracy of GNSS station velocity gradually improves.Under different noise model assumptions,there are significant differences in the uncertainty of station velocity,highlighting the importance of accurate noise model identification for obtaining reliable station velocity and uncertainty.

关 键 词：GNSS时间序列 噪声模型估计 信息熵 随机漫步噪声 

分 类 号：P258[天文地球—测绘科学与技术]