In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
针对目标跟踪中的目标机动问题提出了一种“基于自适应相互作用多模型”的算法。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
The adaptive grid Interacting Multiple Model algorithm can adjust model parameter adaptively according to the target's mode, and thus realizes target tracking.
自适应网格交互多模算法能够根据目标的运动模式，自适应调整系统各模型参数，从而实现对目标的跟踪。
On the process of detecting and tracking, the signal model method and the multiple models combination method are used to simulate the moving state of the target.
在跟踪进程中分别采用单一模式和多模式组合对目标的运动状态进行近似。
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。
The paper describes an Adaptive Interacting Multiple-model(AIMM) algorithm for use in manoeuvring target tracking.
本文介绍了用于机动目标跟踪的自适应混合多模算法。
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.
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 variable structure multiple-model estimation filtering is the most effective approach for tracking maneuvering target, and the model set adaptation algorithm is the core of it.
变结构多模算法是最有效的机动目标跟踪滤波算法，其核心是模型集自适应策略。
Maneuver detection is a key issue in the multiple-model target tracking applications.
机动检测是多模型目标跟踪中的一个关键问题。
Maneuver detection is a key issue in the multiple-model target tracking applications.
机动检测是多模型目标跟踪中的一个关键问题。
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