Dynamic Track Fusion Algorithm Based on Information Quality Selection

The traditional track fusion algorithm does not fully consider the situation that the accuracy of sensors and the measurement loss lead to the track quality degradation. In order to improve the performance of dynamic tracking, a dynamic track fusion algorithm based on information quality selection i...

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Autor principal:	Zhen Xu, Liu Fang, Xia Yuping
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Aero Weaponry 2021
Materias:	\|multi sensor\|measurement loss\|information entropy\|track selection\|track fusions\|target tracking Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/a3e4fee135a94749978857a16eb18405
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id	oai:doaj.org-article:a3e4fee135a94749978857a16eb18405
record_format	dspace
spelling	oai:doaj.org-article:a3e4fee135a94749978857a16eb184052021-11-30T00:13:33ZDynamic Track Fusion Algorithm Based on Information Quality Selection1673-504810.12132/ISSN.1673-5048.2020.0170https://doaj.org/article/a3e4fee135a94749978857a16eb184052021-08-01T00:00:00Zhttps://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2020.00170.pdfhttps://doaj.org/toc/1673-5048The traditional track fusion algorithm does not fully consider the situation that the accuracy of sensors and the measurement loss lead to the track quality degradation. In order to improve the performance of dynamic tracking, a dynamic track fusion algorithm based on information quality selection is proposed. The algorithm obtains the local track and information entropy by interacting multiple model compensation filtering, and then uses the information entropy to measure the quality of the local track. The local track with good quality is selected according to the double threshold. Then, the information entropy normalization result is assigned to the weight of the sensor to realize the dynamic matching of the weight. The simulation results show that the algorithm outperforms the known track fusion algorithm in tracking maneuvering targets with different sensor accuracy and measurement losses.Zhen Xu, Liu Fang, Xia YupingEditorial Office of Aero Weaponryarticle\|multi sensor\|measurement loss\|information entropy\|track selection\|track fusions\|target trackingMotor vehicles. Aeronautics. AstronauticsTL1-4050ZHHangkong bingqi, Vol 28, Iss 4, Pp 30-36 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	\|multi sensor\|measurement loss\|information entropy\|track selection\|track fusions\|target tracking Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	\|multi sensor\|measurement loss\|information entropy\|track selection\|track fusions\|target tracking Motor vehicles. Aeronautics. Astronautics TL1-4050 Zhen Xu, Liu Fang, Xia Yuping Dynamic Track Fusion Algorithm Based on Information Quality Selection
description	The traditional track fusion algorithm does not fully consider the situation that the accuracy of sensors and the measurement loss lead to the track quality degradation. In order to improve the performance of dynamic tracking, a dynamic track fusion algorithm based on information quality selection is proposed. The algorithm obtains the local track and information entropy by interacting multiple model compensation filtering, and then uses the information entropy to measure the quality of the local track. The local track with good quality is selected according to the double threshold. Then, the information entropy normalization result is assigned to the weight of the sensor to realize the dynamic matching of the weight. The simulation results show that the algorithm outperforms the known track fusion algorithm in tracking maneuvering targets with different sensor accuracy and measurement losses.
format	article
author	Zhen Xu, Liu Fang, Xia Yuping
author_facet	Zhen Xu, Liu Fang, Xia Yuping
author_sort	Zhen Xu, Liu Fang, Xia Yuping
title	Dynamic Track Fusion Algorithm Based on Information Quality Selection
title_short	Dynamic Track Fusion Algorithm Based on Information Quality Selection
title_full	Dynamic Track Fusion Algorithm Based on Information Quality Selection
title_fullStr	Dynamic Track Fusion Algorithm Based on Information Quality Selection
title_full_unstemmed	Dynamic Track Fusion Algorithm Based on Information Quality Selection
title_sort	dynamic track fusion algorithm based on information quality selection
publisher	Editorial Office of Aero Weaponry
publishDate	2021
url	https://doaj.org/article/a3e4fee135a94749978857a16eb18405
work_keys_str_mv	AT zhenxuliufangxiayuping dynamictrackfusionalgorithmbasedoninformationqualityselection
_version_	1718406881320370176

Dynamic Track Fusion Algorithm Based on Information Quality Selection

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