Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density

Aiming at the development needs of air-to-air operations, this paper proposes a multi-target motion estimation method based on generalized probability hypothesis density. Multi-scale analysis is introduced into based on the Faster-RCNN algorithm, and the improved K-means method is used to perform co...

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Autor principal:	Yu Meng, Xu Yanke, Hu Jiaqian
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Aero Weaponry 2021
Materias:	\|multi-target motion estimation\|k-means clustering\|target recognition\|probability hypothesis density\|situational awareness Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/bf45dc2781614799a6b193e0387e9877
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id	oai:doaj.org-article:bf45dc2781614799a6b193e0387e9877
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spelling	oai:doaj.org-article:bf45dc2781614799a6b193e0387e98772021-11-30T00:13:33ZResearch on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density1673-504810.12132/ISSN.1673-5048.2020.0104https://doaj.org/article/bf45dc2781614799a6b193e0387e98772021-08-01T00:00:00Zhttps://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1631769579942-1704348421.pdfhttps://doaj.org/toc/1673-5048Aiming at the development needs of air-to-air operations, this paper proposes a multi-target motion estimation method based on generalized probability hypothesis density. Multi-scale analysis is introduced into based on the Faster-RCNN algorithm, and the improved K-means method is used to perform coarse clustering on the observed targets. With this as a pre-input, a probability hypothesis density filter based on generalized poisson distribution is proposed, and the clustering information is included in the weight update of the filter estimate to enhance the tracking timeliness of targets for the variable group. The simulation results show that the proposed method can still complete the recognition and classification of multiple targets without prior knowledge of the initial clustering information, and is superior to present swarm target motion estimation method in precision.Yu Meng, Xu Yanke, Hu JiaqianEditorial Office of Aero Weaponryarticle\|multi-target motion estimation\|k-means clustering\|target recognition\|probability hypothesis density\|situational awarenessMotor vehicles. Aeronautics. AstronauticsTL1-4050ZHHangkong bingqi, Vol 28, Iss 4, Pp 37-42 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	\|multi-target motion estimation\|k-means clustering\|target recognition\|probability hypothesis density\|situational awareness Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	\|multi-target motion estimation\|k-means clustering\|target recognition\|probability hypothesis density\|situational awareness Motor vehicles. Aeronautics. Astronautics TL1-4050 Yu Meng, Xu Yanke, Hu Jiaqian Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density
description	Aiming at the development needs of air-to-air operations, this paper proposes a multi-target motion estimation method based on generalized probability hypothesis density. Multi-scale analysis is introduced into based on the Faster-RCNN algorithm, and the improved K-means method is used to perform coarse clustering on the observed targets. With this as a pre-input, a probability hypothesis density filter based on generalized poisson distribution is proposed, and the clustering information is included in the weight update of the filter estimate to enhance the tracking timeliness of targets for the variable group. The simulation results show that the proposed method can still complete the recognition and classification of multiple targets without prior knowledge of the initial clustering information, and is superior to present swarm target motion estimation method in precision.
format	article
author	Yu Meng, Xu Yanke, Hu Jiaqian
author_facet	Yu Meng, Xu Yanke, Hu Jiaqian
author_sort	Yu Meng, Xu Yanke, Hu Jiaqian
title	Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density
title_short	Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density
title_full	Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density
title_fullStr	Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density
title_full_unstemmed	Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density
title_sort	research on multi-target motion estimation method based on generalized probability hypothesis density
publisher	Editorial Office of Aero Weaponry
publishDate	2021
url	https://doaj.org/article/bf45dc2781614799a6b193e0387e9877
work_keys_str_mv	AT yumengxuyankehujiaqian researchonmultitargetmotionestimationmethodbasedongeneralizedprobabilityhypothesisdensity
_version_	1718406887579320320

Research on Multi-Target Motion Estimation Method Based on Generalized Probability Hypothesis Density

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