A Maneuvering Multi-target Tracking Algorithm Based on AGMM-CBMeMBer

Aiming at the problem that traditional tracking algorithms can not effectively track maneuvering multi-target in clutter environment, this paper proposes a new maneuvering multi-target tracking algorithm based on adaptive grid method and Cardinality Balanced Multi-Target Multi-Bernoulli (CBMEMBer) filtering algorithm. The adaptive adjustment of the model set is realized by introducing the adaptive grid method. Therefore, the proposed algorithm can adapt to the change of the moving state of the maneuvering target. The simulation results show that, compared with the fixed structure multi-model tracking algorithm, the proposed algorithm has better tracking performance for maneuvering multi-target, and its cost-effectiveness ratio is higher. It has a wide application prospect in the field of multi-target tracking.