Interacting multiple model target tracking algorithm based on particle filtering

The movement model of maneuvering targets is analyzed, and based on the fact that the interacting multiple models in extended Kalman Filter and Unscented Kalman Filter have a low precision of tracking strong maneuvering targets, particle filter is introduce into interacting multi-model, so that particle filtering of every model can be realized through particle filtering algorithm. The simulation result shows that particle filtering algorithm has improved the tracking precision of strong and nonlinear maneuvering targets.