Multi-sensor Target Tracking Using the Bernoulli Filter
- 10.2991/icmmita-15.2015.259How to use a DOI?
- Bernoulli filter; Multi-sensor; Sequential Monte Carlo.
This paper proposes a novel multi-sensor Bernoulli filter (MSBF) based on the finite set statistics (FISST) for tracking a single target under the presence of detection uncertainty and clutter. The proposed algorithm is an extension of original Bernoulli filter in multi-sensor tracking. First, FISST is used to derive multi-sensor likelihood function of the MSBF, and then the sequential Monte Carlo (SMC) method is applied to implement the MSBF. Eventually, the simulation results are provided to demonstrate the effectiveness of the MSBF.
- © 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 - Yong Qin AU - Hong Ma AU - Li Cheng AU - De Yu AU - Yang Li AU - Xueqin Zhou PY - 2015/11 DA - 2015/11 TI - Multi-sensor Target Tracking Using the Bernoulli Filter BT - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 1399 EP - 1405 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-15.2015.259 DO - 10.2991/icmmita-15.2015.259 ID - Qin2015/11 ER -