Covariance control joint integrated probabilistic data association filter for multi‐target tracking-Reference-Cited by-同舟云学术

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Covariance control joint integrated probabilistic data association filter for multi‐target tracking

Published:2019-04 Issue:4 Volume:13 Page:584-592
ISSN:1751-8792
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Zhu Yun¹,Wang Jun¹,Liang Shuang²,Wang Jue³

Affiliation:

1. National Laboratory of Radar Signal ProcessingXidian UniversityXi'an710071People's Republic of China

2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of EducationXidian UniversityXi'an710071People's Republic of China

3. The 20th Research Institute of China Electronic Technology Group CorporationXi'an710068People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2018.5142

Reference22 articles.

1. A Joint Multitarget Estimator for the Joint Target Detection and Tracking Filter

2. Introduction to the issue on multitarget tracking;Mallick M;IEEE J. Sel. Top. Signal Process.,2013

3. Distributed multitarget search and track assignment with consensus based coordination;Severson T.A.;IEEE Sens. J.,2015

4. Sonar tracking of multiple targets using joint probabilistic data association

5. Joint probabilistic data association for multitarget tracking with possibly unresolved measurements and maneuvers

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