一种多普勒盲区条件下的多假设运动模型目标跟踪方法

 机载预警雷达存在不可忽略的多普勒盲区问题。在目标跟踪的过程中，该盲区容易造成目标航迹中断和重起批。针对该问题，提出了一种基于多假设运动模型的目标跟踪方法。该方法根据多普勒盲区对目标状态的约束形成多个假设运动模型，当新出现的量测值落入任何一个运动模型形成的关联波门内，则航迹关联成功。仿真结果表明，该算法在不同盲区范围条件下，针对不同机动能力的目标均具有较高的航迹关联率，有效提高了目标连续跟踪性能。

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.