Nonlinear target tracking based on particle filter

For the reason of being able to deal with any nonlinear or non-Gaussian distributions, particle filters have been favored by many researchers and been widely applied in many fields. Based on the particle filter, the modified extended Kalman filter (EKF) proposed function, the suitable resampling algorithm, the rejection sampling and etc. are introduced in nonlinear target tracking. And the simulation results confirm that the improved particle filter outperforms the basic one.