Particle filter positioning and tracking based on dynamic model
Zengshan Tian, Lei Luo · 2008
In order to deal with mobile target tracking which contain non-linear and non-Gaussian problem, this paper presents a particle filter positioning and tracking algorithm based on dynamic model. This method can apply to any state-space model which is nonlinear system, and the accuracy can approach to best of all. The simulation showed that particle filter method can be used effectively to inhibit Non-line-of-sight (NLOS) errors and can be combined with positioning and tracking model to get higher precision.