Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

A New Multi-sensor Particle CPHD Filtering Algorithm for Bearings-only Multi-target Tracking

Authors
Jun-gen Zhang
Corresponding Author
Jun-gen Zhang
Available Online July 2019.
DOI
https://doi.org/10.2991/eee-19.2019.24How to use a DOI?
Keywords
CPHD filter, Bearings-only multi-target tracking, Particle filter, Multi-sensor
Abstract
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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Electrical and Electronic Engineering (EEE 2019)
Part of series
Advances in Engineering Research
Publication Date
July 2019
ISBN
978-94-6252-754-6
ISSN
2352-5401
DOI
https://doi.org/10.2991/eee-19.2019.24How to use a DOI?
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  -