An MCMC-BASED PARTICLE FILTER TBD ALGORITHM FOR MULTI-TARGET DETECTION AND TRACKING
Available Online October 2015.
- 10.2991/icitmi-15.2015.188How to use a DOI?
- track-before-detect, MCMC, particle filter.
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.
- © 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/).
Cite this article
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 -