中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Recursive estimation of the stochastic model based on the Kalman filter formulation

文献类型:期刊论文

作者Zhang, Xinggang1,2,3; Lu, Xiaochun2,3
刊名GPS SOLUTIONS
出版日期2021-01-02
卷号25期号:1页码:7
关键词Variance components estimation Batch EM algorithm Precise point positioning Kalman filter Real-time mode
ISSN号1080-5370
DOI10.1007/s10291-020-01060-4
英文摘要Based on the batch expectation-maximization (EM) and recursive least-squares algorithms, we develop a new recursive variance components estimation (Recursive-VCE) algorithm that applies a Kalman filter and validates it by a simulated kinematic precise point positioning (PPP) experiment and a PPP test on real-world data. The Recursive-VCE algorithm processes the observations in an epoch-by-epoch or a group-by-group manner. Once new observations are obtained, it updates the estimates of the variance components in a recursive way or on the fly. Therefore, it does not require significant computing resources to store sufficiently large training datasets. The resulting algorithm is simple and able to be easily adapted to determine time-varying behaviours and is shown to converge faster than the batch EM algorithm because the EM algorithm updates the parameters only once after dealing with all the data. Hence, it is a good complement to other batch VCE methods, and its application in real-time data processing is promising.
WOS关键词NOISE ; COVARIANCE ; GALILEO ; MINQUE
资助项目China Scholarship Council (CSC)
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000606405300003
出版者SPRINGER HEIDELBERG
资助机构China Scholarship Council (CSC) ; China Scholarship Council (CSC) ; China Scholarship Council (CSC) ; China Scholarship Council (CSC) ; China Scholarship Council (CSC) ; China Scholarship Council (CSC) ; China Scholarship Council (CSC) ; China Scholarship Council (CSC)
源URL[http://210.72.145.45/handle/361003/12112]  
专题中国科学院国家授时中心
通讯作者Zhang, Xinggang
作者单位1.German Res Ctr Geosci GFZ, D-14473 Potsdam, Germany
2.Chinese Acad Sci, Key Lab Precis Nav Positioning & Timing Technol, Xian 710600, Peoples R China
3.Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Xinggang,Lu, Xiaochun. Recursive estimation of the stochastic model based on the Kalman filter formulation[J]. GPS SOLUTIONS,2021,25(1):7.
APA Zhang, Xinggang,&Lu, Xiaochun.(2021).Recursive estimation of the stochastic model based on the Kalman filter formulation.GPS SOLUTIONS,25(1),7.
MLA Zhang, Xinggang,et al."Recursive estimation of the stochastic model based on the Kalman filter formulation".GPS SOLUTIONS 25.1(2021):7.

入库方式: OAI收割

来源:国家授时中心

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