Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach

doi:10.1109/TSIPN.2022.3210374

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	Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach
	Zhang, Xiaocheng 1; Xue, Wenchao 1; He, Xingkang 2; Fang, Haitao 1
	2022
发表期刊	IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS
ISSN	2373-776X
卷号	8 页码:844-854
摘要	This 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.
关键词	State estimation Kalman filters Estimation Symmetric matrices Robot sensing systems Scalability Observability Sensor network measurement bias bias estimator distributed filter
DOI	10.1109/TSIPN.2022.3210374
收录类别	SCI
语种	英语
资助项目	National 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研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000865087200001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/60830
专题	中国科学院数学与系统科学研究院
通讯作者	Xue, Wenchao
作者单位	1.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
推荐引用方式 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.