基于随机有限集的多目标跟踪算法在红外预警系统中的应用研究  

Application of Random Finite Set Based Multi-target Tracking Algorithm in Infrared Early Warning System

作　　者：李莉[1] 程小亮[1] LI Li CHENG Xiao-liang(Luoyang Institute of Electro-Optical Equipment, AVIC, Luoyang 471000, China)

机构地区：[1]中国航空工业集团公司洛阳电光设备研究所,河南洛阳471000

出　　处：《电光与控制》2017年第8期61-65,70,共6页Electronics Optics & Control

摘　　要：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.

关 键 词：红外预警系统 随机有限集 多目标跟踪 

分 类 号：TN971.1[电子电信—信号与信息处理]