为了计算最优加权，提出了局部估计误差互协方差的计算公式。
In order to compute the optimal weights, the formula of computing the cross-covariance among local filtering errors is presented.
然后，推导了任两个局部估计误差之间的互协方差阵的计算公式。
Then we derive the computation formula for the cross-covariance matrix between any two local estimators.
为了计算最优加权阵，提出了计算局部滤波误差互协方差阵的公式。
In order to compute the optimal weighting matrices, the formula of computing the cross-covariance matrices among local filtering errors, is presented.
为了计算最优加权阵，提出了局部估计误差互协方差阵的计算公式。
In order to compute the optimal weighting matrices, the formula of computing the cross-covariance matrix between local estimation errors is presented.
为了计算最优加权，提出了局部估计误差方差阵和互协方差阵的计算公式。
In order to compute the optimal weights, the formulas of computing the local estimation error covariance and cross-covariance matrices are presented.
为了计算最优加权，提出了状态估计误差方差阵和互协方差阵的计算公式。
The formulas of computing the variance and cross-covariance matrices among local state estimation errors are presented, which are applied to compute the optimal weights.
任意两个传感器子系统之间的滤波误差互协方差矩阵推导出状态的时间延迟系统。
The cross-covariance matrix of filtering errors between any two-sensor subsystems is derived for state time-delay systems.
本文对基于互协方差的航迹融合算法进行了仿真分析，并对航迹融合模型的稳定性进行了探讨。
The simulation and analysis on algorithm of multisensor track-to-track fusion is based on cross-variance functions, and analysis of the stability to model is presented.
用天线阵归一化广义阻抗矩阵表示单元互耦，分析了考虑单元互耦效应的自适应天线协方差矩阵的特点。
By using the arrays normalized general impedance matrix to express the mutual coupling between the elements, the characteristics of the covariance matrix of the adaptive arrays are analyzed.
用天线阵归一化广义阻抗矩阵表示单元互耦，分析了考虑单元互耦效应的自适应天线协方差矩阵的特点。
By using the arrays normalized general impedance matrix to express the mutual coupling between the elements, the characteristics of the covariance matrix of the adaptive arrays are analyzed.
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