在此基础上，推导了基于当前统计模型的分散式纯方位跟踪算法并对纯方位机动目标实施跟踪。
On the base of it, a decentralized bearings-only tracking algorithm based on the current statistical model was deduced and used to track bearings-only maneuvering target.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
提出了一种使用两个模型实现对机动目标跟踪的多模型算法，采用当前统计模型和扩展后的常速模型组成的模型集进行交互。
A new EMM algorithm for tracking maneuvering target is presented, which USES two models that consist of a normal CS model and an augmented CV model for interaction.
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