基于标签多贝努利多传感器组网目标跟踪算法

doi:10.12305/j.issn.1001-506X.2021.06.11

Abstract

Abstract:

With the increasing complexity of electromagnetic environment, strong interferences and high clutter rate lead to the low detection probability problem, which brings a new challenge for the observation system to accurately estimate the number and states of target in surveillance area. Aiming at the problem of low detection probability, a multi-sensor networking target tracking algorithm based on labelled multi-Bernoulli (LMB) in the framework of random finite sets is proposed. The proposed algorithm incorporates the LMB framework into target tracking scene of multi-sensor networking with different detection ranges for the first time and realizes the target number and corresponding sate stability estimation of multi-target tracking. The simulation results show that the proposed algorithm not only provides stable estimation of trajectories under the condition of low detection probability, including targets born and die, but also gives an effective superposition of different detection ranges, which makes full advantage of multiple sensors.

Key words: low detection probability, labelled multi-Bernoulli (LMB), multi-sensor, detection range

CLC Number:

TN95

Qi HU, Chaoqun YANG. Multi-sensor networking target tracking algorithm based on labelled multi-Bernoulli[J]. Systems Engineering and Electronics, 2021, 43(6): 1541-1546.

Figures/Tables 3

References 30

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Multi-sensor networking target tracking algorithm based on labelled multi-Bernoulli

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