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Solution to second benchmark problems for tracking maneuvering targets in the presence of false alarms and ECM

机译:解决存在误报和ECM时跟踪机动目标的第二个基准问题的解决方案

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Abstract: This paper presents a solution to a second benchmark problem for tracking highly maneuvering targets in the presence of False Alarms (FA) and Electronic Counter Measures (ECM) and involves beam pointing control of a phased array radar. The proposed solution utilizes an Interacting Multiple Model (IMM) algorithm in conjunction with the Integrated Probabilistic Data Association Filter (IPDAF) when there are measurements of uncertain origin. The output of the IMM algorithm is used to compute the time for the next measurement in order to maintain a given level of tracking performance which was established to prevent track loss. A testbed simulation program that includes the effects of target amplitude fluctuations, beamshape, missed detections, target maneuvers, FA, ECM, and track loss was used to evaluate performance. For this benchmark problem, the `best' tracking algorithm is the one that requires a minimum amount of radar energy while satisfying a 5% lost track constraint.!11
机译:摘要:本文提出了第二个基准问题的解决方案,该问题用于在存在虚警(FA)和电子对抗(ECM)的情况下跟踪高机动目标,并且涉及相控阵雷达的波束指向控制。当存在不确定来源的测量结果时,提出的解决方案将交互式多模型(IMM)算法与集成概率数据关联过滤器(IPDAF)结合使用。 IMM算法的输出用于计算下一次测量的时间,以维持给定水平的跟踪性能,该水平已建立以防止跟踪丢失。使用一个包括目标幅度波动,波束形状,漏检,目标操纵,FA,ECM和磁道损耗影响的测试平台仿真程序来评估性能。对于这个基准问题,“最佳”跟踪算法是一种需要最少雷达能量同时满足5%丢失跟踪约束的算法!! 11

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