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IMM algorithm for a 3D high maneuvering target tracking

机译:用于3D高机动目标跟踪的IMM算法

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A major challenge posed by target tracking problems is the target flying at high speeds and performing "high-g" turns in the 3D space. In this situation, horizontally or decoupled models may lead to an unacceptable accuracy. To address this problem an IMM algorithm that includes a 3D constant velocity model (CV), a 3D "current" statistic model (CSM), and 3D constant speed coordinated turn model (3DCSCT)with the kinematic constant for constant speed targets is proposed. The tracking performance of the proposed IMM algorithm is compared with that of an IMM algorithm utilizing CV, 3DCSCT, and constant acceleration model (CA) or singer model. Simulation results that demonstrate the algorithm is feasible and practical for a 3D high maneuvering target tracking.
机译:目标跟踪问题带来的主要挑战是目标高速飞行并在3D空间中执行“高g”转弯。在这种情况下,水平或分离的模型可能会导致无法接受的精度。为了解决此问题,提出了一种IMM算法,该算法包括一个3D等速模型(CV),一个3D“当前”统计模型(CSM)和具有等速目标运动学常数的3D等速协调转弯模型(3DCSCT)。将所提出的IMM算法的跟踪性能与利用CV,3DCSCT和恒定加速度模型(CA)或歌手模型的IMM算法的跟踪性能进行了比较。仿真结果证明了该算法对3D高机动目标跟踪的可行性和实用性。

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