红外预警系统由于量测周期长、跟踪目标数量多, 从而导致多目标跟踪算法起始时间长、实时性差。采用基于随机集的多目标跟踪算法来解决这些难点, 并针对标准随机集多目标跟踪算法需要给出新生目标先验出生概率强度、航迹无法编批的不足, 采用分扇区处理、均匀新生目标强度模型、航迹编批管理方法对算法进行了改进。仿真结果表明, 改进后的算法能够满足红外预警系统工程需求。

For the infrared early warning system, the multi-target tracking algorithm usually has long starting time and poor real-time performance due to long measurement cycle and large quantity of targets. In this paper, a new algorithm based on random finite set is proposed. Considering that for the standard multi-target tracking algorithm based on the standard random set, it is necessary to give the prior birth probability density of the new target and the track can't be labeled, we make improvement to the algorithm. Sector processing method, uniform new target density model, and track batch management are used. Simulation results show that the improved algorithm can meet the demand of infrared warning system.