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.
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。
This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value.
本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。
The basic idea of the variable-structure multiple model algorithm is expatiated. A variable-structure IMM algorithm for tracking a maneuvering target is studied and designed.
将当前统计模型和变结构多模型估计算法相结合，阐述了变结构多模型算法的基本思想，研究和设计了一种用于跟踪机动目标的变结构交互多模型算法。
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