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An effective target tracking algorithm with anti-RGPO ability

机译:具有抗RGPO能力的有效目标跟踪算法

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To deal with target tracking in range gate pull off (RGPO) jamming, a tracking algorithm with anti-RGPO ability is proposed. The characteristics that false target will fall behind the true target with higher observed SNR is introduced into conventional test method, and a modified test is given. Combing the result of modified test and 2/3 logic test, whether RGPO exists is finally decided. If RGPO jamming is discriminated, the farther measurement in the measurement pair that passed the modified test is deleted to counter RGPO. Conventional probabilistic data association filter (PDAF) is used to process the measurements without RGPO jamming. Simulation results demonstrate that the tracking algorithm can keep high precision tracking of target in RPGO environment and decrease the tracking drop rate effectively.
机译:针对距离门拉闸(RGPO)干扰中的目标跟踪问题,提出了一种具有抗RGPO能力的跟踪算法。在常规测试方法中引入了虚假目标将落在真实目标之后,观测信噪比更高的特点,并给出了改进的测试方法。结合修改测试和2/3逻辑测试的结果,最终确定RGPO是否存在。如果区分了RGPO干扰,则通过修改后的测试的测量对中的更远的测量值将被删除,作为计数器RGPO。传统的概率数据关联过滤器(PDAF)用于处理测量而不会引起RGPO干扰。仿真结果表明,该跟踪算法可以在RPGO环境下保持对目标的高精度跟踪,并有效降低跟踪丢包率。

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