A New Multi-sensor Particle CPHD Filtering Algorithm for Bearings-only Multi-target Tracking
Available Online July 2019.
- https://doi.org/10.2991/eee-19.2019.24How to use a DOI?
- CPHD filter, Bearings-only multi-target tracking, Particle filter, Multi-sensor
- Aiming at bearings-only multi-target tracking, a new multi-sensor particle CPHD filtering algorithm is proposed, which analyses the structure information of mixed linear/nonlinear state space models and combines particle filter and Kalman filter to predict and estimate the states of multiple targets to enhance the estimating performance of the PHD and cardinality distribution. The target state estimates are extracted by utilizing the kernel density estimation theory and mean-shift method. Simulation results are presented to demonstrate the improved performance of the proposed filtering algorithm.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jun-gen Zhang PY - 2019/07 DA - 2019/07 TI - A New Multi-sensor Particle CPHD Filtering Algorithm for Bearings-only Multi-target Tracking BT - 2nd International Conference on Electrical and Electronic Engineering (EEE 2019) PB - Atlantis Press SP - 141 EP - 146 SN - 2352-5401 UR - https://doi.org/10.2991/eee-19.2019.24 DO - https://doi.org/10.2991/eee-19.2019.24 ID - Zhang2019/07 ER -