Optimun algorithm of NJPDA based on boltzmann machine

In this paper,the properties of the joint probabilistic data association (JPDA) are analyzed,and the data association of multi maneuvering targets is reduced to be a sort of constraint combinatorial optimization problem. Based on Boltzmann machine and simulated gain annealing,an algorithm called fast stochastic neural joint probabilistic data association (FSJPDA) is presented. The simulations show that the computation combinatorial explore has been solved,and performance of the NJPDA has been improved.