点目标和扩展目标联合跟踪算法

Joint tracking point target and extended target based on random set

目标跟踪问题在国防领域,如雷达对飞机、轮船和导弹等机动军事目标的精确探测和定位很大程度上决定了战争武器的有效性。针对点目标和扩展目标同时存在的特殊情况,提出基于随机集的点目标和扩展目标联合跟踪算法。该算法探索基于随机有限集的扩展目标滤波器对于点目标跟踪的不足,并尝试通过放宽约束条件的方式对其进行改进。仿真结果表明,在点目标和扩展目标同时存在的情况下,所提算法相比于已有基于随机集理论的扩展目标跟踪算法具有更好的鲁棒性。

Target tracking problem in the defense area, such as radar＇ s precise detection and location for aircrafts, ships and missiles, etc, that are all maneuvering military targets, determine the effectiveness of the war weapons to a great extent. Aimed at special condition that point target and extended target existed at the same time, this paper proposed an algorithm for joint tracking point target and extended target. Based on the random finite set theory, the algorithm explored the deficience of known extended target filter for point-target tracking, and tried to relax the constrains to improve it. Compared to known algo- rithms for extended target tracking based on random set theory, simulation results show that the proposed algorithm is more robust in the presence of point target and extended target.