A Performance Analysis Method of Passive Multisensor Multitarget  Track Association Based on MultiBernoulli Model

The performance analysis of multiple tracks association is one of the key and difficult issues in the space-based optical passive angle tracking system. For the typical nearest nerghbor track association algorithm, this paper proposes a novel performance analysis method of passive multisensor multitarget track association based on multiple Bernoulli model. Firstly, the probability distribution of the association hinge angle difference statistic is modeled exactly. Secondly, the equivalent condition of the nearest neighbor track association algorithm in multiple targets situation is analyzed; the correct association probability of each target in multiple targets sitation is calculated. Finally, each correct association probability is treated as the succesful rate of a Bernoulli trial, and then the problem of the holistic association performance about all targets is modeled as the multiple Bernoulli process. On this basis, the association performance in multiple targets situation is derived theoreticly. A Monte Carlo simulation in dense targets scenario is used to analyze the performance analysis method, the efficiency of this performance analysis method is verified by the simulation results. It seems that some analysis results can provide references to engineering applications, such as multiple sensors management.