PF-TBD algorithm based on PSO

To solve the problem of particle degeneracy in PF-TBD which can spoil the detecting and tracking performance of the algorithm, this paper applied the Particle Filter based on Particle Swarm Optimization (PSO-PF) into TBD. The algorithm use latest measuring information as the criterion to optimize the particles intellectively. By optimizing the particles intellectively, the particles redistributed towards the high likelihood ratio region and in this way the algorithm avoids the particle degeneracy problem effectively. Simulation result shows that compared with TBD based on generic particle filter, TBD based on the algorithm this paper proposed improved the detecting possibility and the tracking accuracy of target.