Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input

This paper addresses the problem of the joint estimation of system state and generalized sensor bias (GSB) under a common unknown input (UI) in the case of bias evolution in a heterogeneous sensor network. First, the equivalent UI-free GSB dynamic model is derived and the local optimal estimates of...

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Main Authors: Jie Zhou, Yan Liang, Feng Yang, Linfeng Xu, Quan Pan
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/9/1407
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author Jie Zhou
Yan Liang
Feng Yang
Linfeng Xu
Quan Pan
author_facet Jie Zhou
Yan Liang
Feng Yang
Linfeng Xu
Quan Pan
author_sort Jie Zhou
collection DOAJ
description This paper addresses the problem of the joint estimation of system state and generalized sensor bias (GSB) under a common unknown input (UI) in the case of bias evolution in a heterogeneous sensor network. First, the equivalent UI-free GSB dynamic model is derived and the local optimal estimates of system state and sensor bias are obtained in each sensor node; Second, based on the state and bias estimates obtained by each node from its neighbors, the UI is estimated via the least-squares method, and then the state estimates are fused via consensus processing; Finally, the multi-sensor bias estimates are further refined based on the consensus estimate of the UI. A numerical example of distributed multi-sensor target tracking is presented to illustrate the proposed filter.
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spelling doaj.art-43467733e4eb4438af8562fb66802b692022-12-22T04:28:30ZengMDPI AGSensors1424-82202016-09-01169140710.3390/s16091407s16091407Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown InputJie Zhou0Yan Liang1Feng Yang2Linfeng Xu3Quan Pan4Key Laboratory of Information Fusion Technology, Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi’an 710129, ChinaKey Laboratory of Information Fusion Technology, Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi’an 710129, ChinaKey Laboratory of Information Fusion Technology, Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi’an 710129, ChinaKey Laboratory of Information Fusion Technology, Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi’an 710129, ChinaKey Laboratory of Information Fusion Technology, Ministry of Education, School of Automation, Northwestern Polytechnical University, Xi’an 710129, ChinaThis paper addresses the problem of the joint estimation of system state and generalized sensor bias (GSB) under a common unknown input (UI) in the case of bias evolution in a heterogeneous sensor network. First, the equivalent UI-free GSB dynamic model is derived and the local optimal estimates of system state and sensor bias are obtained in each sensor node; Second, based on the state and bias estimates obtained by each node from its neighbors, the UI is estimated via the least-squares method, and then the state estimates are fused via consensus processing; Finally, the multi-sensor bias estimates are further refined based on the consensus estimate of the UI. A numerical example of distributed multi-sensor target tracking is presented to illustrate the proposed filter.http://www.mdpi.com/1424-8220/16/9/1407bias estimationstate estimationsensor registrationnetwork consensus
spellingShingle Jie Zhou
Yan Liang
Feng Yang
Linfeng Xu
Quan Pan
Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input
Sensors
bias estimation
state estimation
sensor registration
network consensus
title Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input
title_full Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input
title_fullStr Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input
title_full_unstemmed Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input
title_short Multi-Sensor Consensus Estimation of State, Sensor Biases and Unknown Input
title_sort multi sensor consensus estimation of state sensor biases and unknown input
topic bias estimation
state estimation
sensor registration
network consensus
url http://www.mdpi.com/1424-8220/16/9/1407
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AT fengyang multisensorconsensusestimationofstatesensorbiasesandunknowninput
AT linfengxu multisensorconsensusestimationofstatesensorbiasesandunknowninput
AT quanpan multisensorconsensusestimationofstatesensorbiasesandunknowninput