TPMBM tracking algorithm suitable for point-group coexistence scenarios
In order to solve the problem of low tracking accuracy of the traditional group target tracking algorithms in point-group coexistence scenarios,a trajectory Poisson multi-Bernoulli mixture(TPMBM)filte-ring algorithm is proposed,which can track both point target and group target simultaneously.The algorithm expands the state space of the target,introduces probability information about the target class based on the standard point target and the group target models,and achieves the judgment of the target class and the estimation of the target motion state through the prediction and update process of the TPMBM filter.Simulation results show that,compared with the existing algorithms,the proposed algorithm has significantly lower miss detection error and better tracking performance when point target and group target coexist.
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