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Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679229/ https://www.ncbi.nlm.nih.gov/pubmed/31336785 http://dx.doi.org/10.3390/s19143069 |
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author | Li, Zhao Wang, Yidi Zheng, Wei |
author_facet | Li, Zhao Wang, Yidi Zheng, Wei |
author_sort | Li, Zhao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6679229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66792292019-08-19 Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise Li, Zhao Wang, Yidi Zheng, Wei Sensors (Basel) Article 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. MDPI 2019-07-11 /pmc/articles/PMC6679229/ /pubmed/31336785 http://dx.doi.org/10.3390/s19143069 Text en © 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/). |
spellingShingle | Article Li, Zhao Wang, Yidi Zheng, Wei Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise |
title | Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise |
title_full | Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise |
title_fullStr | Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise |
title_full_unstemmed | Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise |
title_short | Adaptive Consensus-Based Unscented Information Filter for Tracking Target with Maneuver and Colored Noise |
title_sort | adaptive consensus-based unscented information filter for tracking target with maneuver and colored noise |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679229/ https://www.ncbi.nlm.nih.gov/pubmed/31336785 http://dx.doi.org/10.3390/s19143069 |
work_keys_str_mv | AT lizhao adaptiveconsensusbasedunscentedinformationfilterfortrackingtargetwithmaneuverandcolorednoise AT wangyidi adaptiveconsensusbasedunscentedinformationfilterfortrackingtargetwithmaneuverandcolorednoise AT zhengwei adaptiveconsensusbasedunscentedinformationfilterfortrackingtargetwithmaneuverandcolorednoise |