Mono-station passive location algorithm based on particle filter and interacting multiple model
Huifeng Wang · Signal Processing · 2009
Combining particle filter with interacting multiple model(IMM),a novel mono-station passive location algorithm is proposed.The algorithm uses the multiple models and every model matches particle filter in order to track arbitrary maneuvering target with non-Gaussian system noise and non-linear measurement equation.Particles in every model are interacted firstly to show the advantage of the IMM algorithm.The particles are more approximates to the posterior density of the states by using UKF method to generate the importance density function,so the computation complexity is reduced.Simulation results show that the proposed algorithm is more efficiency than general IMM algorithm and has certain practical utility for engineering application.