Consensus-Based Labeled Multi-Bernoulli Filter With Adaptive Event-Triggered Communication

doi:10.1109/TCSII.2023.3238346

Consensus-Based Labeled Multi-Bernoulli Filter With Adaptive Event-Triggered Communication

2023-07-01

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DOI：10.1109/TCSII.2023.3238346

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The existing event-triggered distributed multi-target filters utilize a constant triggering threshold. Although the communication burden is reduced, it does not adapt well to dynamic environments. In this brief, a novel consensus-based labeled multi-Bernoulli (LMB) filter with event-triggered strategy is introduced with the triggering threshold being decided by a bounded threshold function. The theoretical analysis proves that the information discrepancy of the proposed algorithm is bounded in Kullback-Leibler (KL) divergence sense. The performance of the proposed algorithms is demonstrated in a distributed multi-target tracking scenario via numerical simulations.

Keywords:

Distributed fusion

consensus

event-triggered

sensor network

labeled multi-Bernoulli filter

Consensus-Based Labeled Multi-Bernoulli Filter With Adaptive Event-Triggered Communication

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