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Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach
Zhang, Xiaocheng1; Xue, Wenchao1; He, Xingkang2; Fang, Haitao1
2022
Source PublicationIEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS
ISSN2373-776X
Volume8Pages:844-854
AbstractThis paper addresses the distributed state estimation over a large scale sensor network wherein each sensor may have an unknown measurement bias. In order to mitigate the influence of biases to state estimation, a bias estimator only depending on the structure of local sensor is constructed to ensure the algorithm's scalability for sensor networks. It is proved that the proposed bias estimator can effectively realize the bias estimation for the slow time-varying measurement bias. In addition, a distributed Kalman filter embedded with local bias estimator is developed to efficiently correct the biased measurements. Both consistency and stability of the filter are guaranteed under a general collective observability condition for linear time-varying systems. A numerical simulation is provided to illustrate the effectiveness of the developed results.
KeywordState estimation Kalman filters Estimation Symmetric matrices Robot sensing systems Scalability Observability Sensor network measurement bias bias estimator distributed filter
DOI10.1109/TSIPN.2022.3210374
Indexed BySCI
Language英语
Funding ProjectNational Nature Science Foundation of China[62122083] ; National Nature Science Foundation of China[61973299] ; National Nature Science Foundation of China[11931018] ; Youth Innovation Promotion Association CAS ; Beijing Advanced Innovation Center for Intelligent Robots and Systems[2019IRS09]
WOS Research AreaEngineering ; Telecommunications
WOS SubjectEngineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000865087200001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/60830
Collection中国科学院数学与系统科学研究院
Corresponding AuthorXue, Wenchao
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, NCMIS, LSC, Beijing 100190, Peoples R China
2.Univ Notre Dame, Dept Elect Engn, Notre Dame, IN 46556 USA
Recommended Citation
GB/T 7714
Zhang, Xiaocheng,Xue, Wenchao,He, Xingkang,et al. Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach[J]. IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS,2022,8:844-854.
APA Zhang, Xiaocheng,Xue, Wenchao,He, Xingkang,&Fang, Haitao.(2022).Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach.IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS,8,844-854.
MLA Zhang, Xiaocheng,et al."Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach".IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 8(2022):844-854.
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