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.
该算法可以有效地限制交互多模型算法滤波计算过程中的滤波发散的可能性，从而使得IMM算法更加稳定。
The new IMM algorithm has better stability, because it can effectively restrict the like probability of divergence that happens in the IMM filter algorithm.
该算法可以有效地限制交互多模型算法滤波计算过程中的滤波发散的可能性，从而使得IMM算法更加稳定。
The new IMM algorithm has better stability, because it can effectively restrict the like probability of divergence that happens I...
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。
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.
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 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.
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。
The adaptive grid Interacting Multiple Model algorithm can adjust model parameter adaptively according to the target's mode, and thus realizes target tracking.
针对转弯机动目标跟踪，提出了一种两层交互多模型(IMM)跟踪算法。
A novel two-layer interactive multiple model (IMM) tracking algorithm for turn maneuver is proposed.
基于这种思想，提出一种多模态视频检索模型以及相应的手动式搜索和交互式搜索的算法方案。
We propose a multimodal retrieval model in this paper and introduce the corresponding algorithms of manual search and interactive search.
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.
本文提出基于期望系统噪声模型的自适应交互式多模型(IMM)算法。
An interacting multiple model (IMM) adaptive filtering algorithm based on expected system noise model was presented.
针对交互式多模型(IMM)算法中模型集的设计问题，提出一种模型集设计方法。
Focusing on the design of the model set for the interacting multiple model (IMM) algorithm, a model set design method is proposed.
针对交互式多模型(IMM)，提出一种自适应跟踪数据率的算法。
An adaptive tracking data rate algorithm based on interactive multi-model (IMM) is proposed.
探讨了一种利用单个观测站对机动辐射源目标进行无源定位与跟踪的交互式多模型（IMM）算法。
The Interacting Multiple-Model (IMM) algorithm for passive localization of maneuvering emitter by mono-static is discussed in this paper.
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.
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.
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.
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.
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