A Method of Tracking Targets in Doppler Blind Zone Based on Multiple-hypothesis Motion Models

Generally the problem about Doppler Blind Zone (DBZ) occurs in airborne early warning radar. In the process of target tracking, the DBZ can cause track termination and new track initiation easily. Considering the problem, a target tracking method based on Multiple-Hypothesis Motion Models (MHMM) is proposed. The method produces multiple hypothesis motion models according to target state restriction set by DBZ. Once new measurements fall into association gate formed according to a certain model, the track association is successful. The simulation results show that on the condition of different DBZ ranges, high track association ratio can be acquired in this method for targets with different maneuverability. This algorithm can improve performance of continuous target tracking.