Box-particle Cardinality Balanced Multitarget Multi-Bernoulli Filter for Multipath Multitarget Tracking in OTHR

DOI

10.2991/icmeit-19.2019.153How to use a DOI?

Keywords

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

Abstract

This paper proposes a novel box-particle multipath cardinality balanced multitarget multi-Bernoulli (BP- MPCBMeMBer) filter for the problem of multitarget tracking in Over-the-horizon radar (OTHR). The proposed algorithm combines the multipath cardinality balanced multitarget multi-Bernoulli (MPCBMeMBer) filter with interval analysis to solve the problems of high computational complexity and nonlinear measurement models. First, establishment of the OTHR measurement model based on interval analysis, and then the box-particle filter is used to derive the BP-MPCBMeMBer based on the original MPCBMeMBer filter. Eventually, the simulation results are presented to verify the effectiveness of the BP-MPCBMeMBer filter.

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  - 2019/04
DA  - 2019/04
TI  - Box-particle Cardinality Balanced Multitarget Multi-Bernoulli Filter for Multipath Multitarget Tracking in OTHR
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 968
EP  - 975
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.153
DO  - 10.2991/icmeit-19.2019.153
ID  - Qin2019/04
ER  -