Simulation research on Particle filter algorithm
Yali Zhou · Journal of Beijing Information Science & Technology University · 2011
Particle filter can both solve linear,Gaussian problems and nonlinear,non-Gaussian ones.Research work is carried out on the particle filter algorithm which has been widely used in location and navigation,object tracking and pattern recognition.Firstly,the basic algorithm of the particle filter is described.Secondly,through the simulation experiments,a research is made on the effect of the estimated output,sampling threshold,resampling algorithm and the error motion model or error observation model on the filter.Finally,through the experiments analysis,it is concluded that the particle filter has good robustness.