Passive Target Tracking Using an Improved Particle Filter Algorithm Based on Genetic Algorithm

摘要

To track passive target efficiently and accurately, an improved particle filter algorithm based on genetic algorithm (SGAPF)is proposed.By incorporating the newest observation into sampling process and using genetic algorithm, the degeneracy problem is overcome and the predication performance of particle filter is improved. The improved algorithm guarantees the diversity of the particles and particles are moved to the regions where they have larger values of posterior density function. Simulation experiments show the validity of the proposed algorithm.