An MCMC-BASED PARTICLE FILTER TBD ALGORITHM FOR MULTI-TARGET DETECTION AND TRACKING

DOI

10.2991/icitmi-15.2015.188How to use a DOI?

Keywords

track-before-detect, MCMC, particle filter.

Abstract

This paper presents an MCMC-based particle filter TBD algorithm for multi-target detection and tracking in low SNR environment. In this algorithm, a set of unweighted samples is used to represent the posterior distribution of the joint multi-target state. Then, a MH algorithm is adopted to recursively obtain the unweighted samples approximation for the posterior. Simulation results show that the performance of the proposed algorithm is very well for a fix known number of targets, even targets’ paths are close proximity.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ling Fan
PY  - 2015/10
DA  - 2015/10
TI  - An MCMC-BASED PARTICLE FILTER TBD ALGORITHM FOR MULTI-TARGET DETECTION AND TRACKING
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 1119
EP  - 1124
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.188
DO  - 10.2991/icitmi-15.2015.188
ID  - Fan2015/10
ER  -