A Particle Filtering Method for Radar Target Tracking

Observed radar measured data contains outlier and noise, thus it needs filtering. In this paper, linear and nonlinear filtering are analysed, then the state and observation equation of radar tracking are established, finally, the particle filtering process of flight tracking is derived based on the research of Bayesian estimation algorithm. The simulation effects show that the Particle Filtering algorithm converges faster and reduces the observed noise, and the tracking effect can be improved obvously.