GM-CPHD Filter with State-dependent Clutter

Authors

Lili Ma, School of Computer Science, Xi'an Polytechnic University, Xi'an 710048, China;
Xiaoshan Qin, School of Computer Science, Xi'an Polytechnic University, Xi'an 710048, China;
Jinguang Chen, School of Computer Science, Xi'an Polytechnic University, Xi'an 710048, China;

Abstract

Abstract: For many sensors the clutters observed are easier to concentrate in the area around targets, namely the state-dependent clutter, which is different from the known clutter distribution in traditional filtering algorithms. So, the accuracy the real-time performance and of traditional multi-target tracking will be greatly degraded. To solve this problem, a kind of GM-CPHD filter with state-dependent clutter was proposed. The relationship between clutter and state was modeled. The clutter intensity was recalculated according to the distribution of clutter in the whole surveillance area and applied to update process; at the same time, in order to reduce the time complexity, an adaptive gating strategy was adopted to make a pretreatment, that is, only the measurements which fell into a threshold were used in update process. The simulation results show, in the environment of state-dependent clutter, the proposed algorithm has better filtering accuracy and lower time complexity.

Recommended Citation

Ma, Lili; Qin, Xiaoshan; and Chen, Jinguang (2020) "GM-CPHD Filter with State-dependent Clutter," Journal of System Simulation: Vol. 28: Iss. 7, Article 21.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss7/21

First Page

1637

Revised Date

2016-01-25

DOI Link

https://doi.org/

Last Page

1643

CLC

TP391.9

Recommended Citation

Ma Lili, Qin Xiaoshan, Chen Jinguang. GM-CPHD Filter with State-dependent Clutter[J]. Journal of System Simulation, 2016, 28(7): 1637-1643.