Group Targets Separation Method with Segmented Hypothesis Tracking

This paper proposes a method for separating group targets based on segmented hypothesis tracking. In the case where multiple targets are identified by the same radar beam within a radar observation period, deviations and missing data may occur among the targets due to noise, crossovers, and occlusion effects. The segmented hypothesis tracking algorithm is utilized to correct the erroneous matching of scatter points between targets, further achieving target separation. Subsequently, the Kalman filtering algorithm is employed to correct the parameters of the target scatter center. This method provides an effective and feasible solution to the problem of group targets separation.