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本文介绍利用目标回波强度改进涉及杂波环境中目标机动的航迹形成性能和航迹保持的递归跟踪算法。本技术把交互多模型方法(IMM)和广义概率数据互连(PDA)结合在一起,利用了与目标和杂波回波的概率模型相结合的量测的回波幅值。该方法的优点是通过评估目标模型概率可自动产生关键的跟踪决策,以便在航迹形成中提供快速而准确的真航迹确认和假航迹撤消的决策。它还能对等位转向目标机动实施精确的继续跟踪。
This paper introduces the recursive tracking algorithm that uses the target echo strength to improve the trajectory formation performance and track keeping of target maneuver in clutter environment. This technique combines an IMM with a Generalized Probabilistic Data Interconnection (PDA) that utilizes measured echo amplitudes in combination with probabilistic models of target and clutter echoes. The advantage of this method is that the key tracking decisions can be automatically generated by evaluating the probability of the target model in order to provide fast and accurate decision making of true track verification and fake track cancellation in track formation. It also enables accurate follow-up tracking of the maneuver to the target maneuver.