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      Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise

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          Abstract

          Distributed state estimation plays a key role in space situation awareness via a sensor network. This paper proposes two adaptive consensus-based unscented information filters for tracking target with maneuver and colored measurement noise. The proposed filters can fulfill the distributed estimation for non-linear systems with the aid of a consensus strategy, and can reduce the impact of colored measurement noise by employing the state augmentation and measurement differencing methods. In addition, a fading factor that shrinks the predicted information state and information matrix can suppress the impact of dynamical model error induced by target maneuvers. The performances of the proposed algorithms are investigated by considering a target tracking problem using a space-based radar network. This shows that the proposed algorithms outperform the traditional consensus-based distributed state estimation method in aspects of tracking stability and accuracy.

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          Most cited references34

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          Consensus Filters for Sensor Networks and Distributed Sensor Fusion

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            Kullback–Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability

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              Linear filtering for time-varying systems using measurements containing colored noise

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                11 July 2019
                July 2019
                : 19
                : 14
                : 3069
                Affiliations
                College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China
                Author notes
                [* ]Correspondence: wangyidi_nav@ 123456163.com ; Tel.: +86-156-1601-8839
                Article
                sensors-19-03069
                10.3390/s19143069
                6679229
                31336785
                da1c41a9-c6dd-4463-9c62-ee4b239c9022
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 22 May 2019
                : 10 July 2019
                Categories
                Article

                Biomedical engineering
                target tracking,distributed estimation,consensus strategy,information filter,sensor network

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