MULTI-RADAR DATA FUSION FOR OBJECT TRACKING AND SHAPE ESTIMATION

Object trajectory tracking plays a significant role in real-time monit oring systems. This paper proposes a method to achieve higher accuraci es in computing objects' trajectories and estimate their shape by suit ably fusing multi-radar measurements. Since each sensor is affected by an error depending on its location and on the target-radar mutual pos ition, an iterative procedure has been considered, in order to entirel y exploit the accuracy of each radar. Results obtained by applying the proposed algorithm to simulated sequences of radar data are reported.