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在交互式多模型算法中引入神经网络算法以改进目标跟踪的精度。
The interacting multiple model(IMM) algorithm has been shown to be one of the most effective estimation algorithms in the field of maneuvering target tracking.
该算法使用无源定位的方法确定目标位置，并运用基于多速率运动模型的交互式多模型算法进行滤波。
Thus the IMM-EDKFCS/CV algorithm can ensure the performances on tracking maneuvering targets and /or non-maneuvering targets.
近年来各国研究者对交互式多模型算法的研究重点主要集中于对模型、滤波算法以及数据融合技术等方面的改进。
In recent years, the research points of all researchers in countries mainly centralize on improvement of the model, filtering algorithm and data fusion technology aspects.
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