The basic variations in Kalman filter architecture are discussed and the multiple model estimation algorithm is presented as well.
讨论了建立卡尔曼滤波器的基本变量，最后探讨了卡尔曼滤波的多模型估计算法。
Abstract: The paper presents a variable structure multiple model estimation based on two-layer model grid, which is used to state estimation for hybrid system.
摘要：文章提出了一种双层网格变结构多模型方法用于复杂系统的状态估计。
Through multi-hypothesis, the problems of target range estimation and ambiguity resolving were converted to the problems of static multiple model estimation and decision.
通过多假设的方法，把机载火控雷达高重复频率线性调频测距模式下的目标距离估计和模糊分辨问题转变为静态多模型估计和判决问题。
An adaptive multiple model algorithm based on residual is presented, its basic idea is to assign the probability of each model in overall estimation through the size of residual.
提出了一种基于残差的自适应多模型算法，其基本思想是通过残差的大小来分配多模型中单个模型在整体估计中的权重。
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。
Blast furnace mathematical model is of characteristics of multiple variables, estimation and forecast. practical typical mathematical models are described.
高炉数学模型具有多变量、估计和预报等特点。
A rolling multiple model weighted average estimation algorithm is presented for tracking the fast time varying model parameters.
为了跟踪快时变参数，提出了一种滚动多模型加权平均参数估计算法。
To improve the accuracy and speed in cycle-accurate power estimation, this paper USES multiple dimensional coefficients to build a Bayesian inference dynamic power model.
为改善周期精确级功耗分析的准确度和速度问题，使用多维特征参数建立贝叶斯推理的动态功耗模型。
Finally, the performance of information diffusion yield estimation model was compared with multiple linear regression model and BP neural network model.
然后针对模型的稳定性和精度进行交叉验证，并与多元线性回归模型和BP神经网络模型进行对比。
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。
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 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。
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