Abstract

The cardinality balanced multi-target multi-Bernoulli (CBMeMBer) filter shows excellent performance compared with the probability hypothesis density (PHD) and cardinality PHD (CPHD) filters. However, the algorithm addressed only single-sensor scenarios. To resolve the problem of multisensor multi-target tracking with the CBMeMBer filter, an ad hoc approach is proposed. Simulation results verify the proposed solution.

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