PHD Filter for Multipath Target Tracking Using Box Particle

DOI

10.2991/iccia-19.2019.9How to use a DOI?

Keywords

Box-particle filter, PHD filter, OTHR, Tracking.

Abstract

This paper presents a novel box-particle multipath probability hypothesis density (BP-MPPHD) filter for the Over-the-horizon radar (OTHR) target tracking. The proposed filter combines the multipath probability hypothesis density (MPPHD) filter with box particle based on the interval analysis method to solve the problems of high computational complexity and non-linear measurement models in OTHR system. First, the OTHR measurement model is established based on the random finite set, and then the box-particle filter is used to derive the BP-MPPHD filter based on the original MPPHD filter. The simulation results show that the proposed BP-MPPHD filter can track the multipath target effectively with less computational time, compared to the particle implementation of the MPPHD filter for multipath target in OTHR system.

Copyright

© 2019, 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  - Yong Qin
PY  - 2019/07
DA  - 2019/07
TI  - PHD Filter for Multipath Target Tracking Using Box Particle
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 59
EP  - 65
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.9
DO  - 10.2991/iccia-19.2019.9
ID  - Qin2019/07
ER  -