Interacting multiple model gaussian particle filter
Zhigang Liu, Jinkuan Wang · 2011
For maneuvering target tracking, the interacting multiple model Gaussian particle filter is proposed without resampling, which can avoid the degeneracy in the effective number of particles. The basic idea is to combine the interacting multiple model approach with a Gaussian particle filter and this approach is easy of parallel implementation. Finally, simulation results show the effectiveness of the proposed algorithms.