Target tracking based on extended Kalman particle filter

Abstract

Angular glint is a main error source influencing target tracking in terminal guidance radar. However, the classic particle filter suppressing angular glint fails to take dynamic information of current moment into account when selecting importance density function and particle degrades in the resampling process. To solve these problems, an improved algorithm based on extended Kalman particle filter was thus proposed and applied to suppress angular glint in target tracking in this paper. Results of traget tracking simulation experiments show better suppression effect of the proposed algorithm. And the proposed algorithm is expected to have a wide application prospect due to great superiority and feasibility.