Extended Target Tracking in Presence of Target Crossing

Authors

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

Abstract

Abstract: In the process of extended target tracking, if there are some crossing targets, target missing problem in target estimation will appear when the extended target Gaussian mixture probability hypothesis density filter is used directly. Aiming at this problem, an improved algorithm was proposed. Euclidean distances among targets estimated were calculated at each time, and then these targets were distinguished if they were in an adjacent region or not. In the next time step, Gaussian components weights of the targets in the same adjacent region were compensated if the target number estimated became small; otherwise, there was nothing to do. These Gaussian components were applied to estimate and track the targets. The improved algorithm solved the estimated target missing problem when the extended targets were so close with partitioning into the same subset. Simulation results show that the improved algorithm is accuracy and effective.

Recommended Citation

Chen, Jinguang; Jiang, Mengxi; and Ma, Lili (2020) "Extended Target Tracking in Presence of Target Crossing," Journal of System Simulation: Vol. 29: Iss. 1, Article 2.
DOI: 10.16182/j.issn1004731x.joss.201701002
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/2

First Page

7

Revised Date

2015-07-03

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701002

Last Page

13

CLC

TP391.9

Recommended Citation

Chen Jinguang, Jiang Mengxi, Ma Lili. Extended Target Tracking in Presence of Target Crossing[J]. Journal of System Simulation, 2017, 29(1): 7-13.

DOI

10.16182/j.issn1004731x.joss.201701002