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• W4317603928 abstract "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." @default.
• W4317603928 created "2023-01-21" @default.
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• W4317603928 date "2023-07-01" @default.
• W4317603928 modified "2023-10-16" @default.
• W4317603928 title "Consensus-Based Labeled Multi-Bernoulli Filter With Adaptive Event-Triggered Communication" @default.
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• W4317603928 doi "https://doi.org/10.1109/tcsii.2023.3238346" @default.
• W4317603928 hasPublicationYear "2023" @default.
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