Particle Filter Based on Interacting Multiple Model
Yupu Yang · Acta Simulata Systematica Sinica · 2005
Combining interacting multiple model with particle filter,a new multiple model particle filter is presented.The algorithm used the multiple models to track arbitrary maneuvering of the target.Every model used particle filter to deal with the nonlinear and non-Gaussian problems.After interaction and particle filtering,particles in the models with the fixed number are resampled to reduce the degeneracy of filtering.In the simulations,compared with the general interacting multiple model,the results demonstrate the efficiency of the new filtering method.