Multisensor information fusion scheme for particle filter

A two-stage information fusion scheme is proposed for particle filter. Its main characteristic is that the multisensor data is fused not only in the likelihood model but also in the stage of importance sampling. By incorporating the multisensor data in sequence, the proposal density can be refined step by step; thus high-quality particles and, consequently, a more accurate estimate can be obtained.