@inproceedings{d6f318d1e6844d49aa9e593e33112623,
title = "Multiple passive sensor multi-target tracking based on multidimensional assignment",
abstract = "In the field of passive multi-sensor multi-target tracking, since only angular measurement is available, data association turns into a quite challengeable task. To address this issue, a novel multidimensional/two dimensional (S-D/2-D) method based on multidimensional assignment algorithm is proposed in this paper. By constraint relaxation, S-D assignment algorithm is employed to solve the multi-sensor measurement-to-measurement association problem. The complete position information of targets are obtained using associated measurement group through maximum likelihood estimation. 2-D assignment is proposed to perform measurement-to-track association and the associated measurement can update the track. Large amounts of Monte Carlo simulation results show this method can solve passive multi-sensor multi-target tracking perfectly with low calculation load added and high precision.",
keywords = "Bearings-only measurements, Component, Data association, Multidimensional assignment, Multitarget tracking",
author = "Bu, \{Shi Zhe\} and Zhou, \{Gong Jian\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd Annual International Conference on Network and Information Systems for Computers, ICNISC 2017 ; Conference date: 14-04-2017 Through 16-04-2017",
year = "2017",
month = apr,
doi = "10.1109/ICNISC.2017.00009",
language = "英语",
series = "Proceedings - 2017 International Conference on Network and Information Systems for Computers, ICNISC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "51--54",
booktitle = "Proceedings - 2017 International Conference on Network and Information Systems for Computers, ICNISC 2017",
address = "美国",
}