Abstract:

The resampling step of particle filtering based on a broad interactive genetic algorithm resolve particle degeneration and particle shortage. The range of selecting window is confirmed by human being and the improved selecting operator with jam gene is used to ensure the diversity of particle filtering in mathematics, and the absolute arithmetical crossing operator whose feasible solution space being close about crossing operation, and nonuniform mutation operator is used to capture all kinds of mutation. The result of simulating experiment shows that the algorithm has better iterative estimating capability than extended Kalman filtering (EKF), particle filtering (PF), and regulariztion particle filtering (RPF).