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1)  variance matrix estimation
方差阵估计
2)  variance matrix of estimated error
估计误差方差阵
1.
Aim Using the variance matrix of estimated error,positional accuracy can be compared with different mixing together data,it has put forward a kind of basis for system location to select data.
目的通过估计误差方差阵,对多传感器组合导航系统中不同的融合数据进行定位精度比较,为系统定位提供选择数据的依据。
3)  covariance matrix estimation
协方差矩阵估计
1.
For the environment in which the clutter power changes slowly with distance,a novel weighting maximum likelihood estimation(WMLE) algorithm is proposed that uses the Bayes criterion to improve the approximative covariance matrix estimation for Space-Time Adaptive Processing(STAP).
针对杂波功率随距离缓变的非均匀环境,提出了一种新的基于Bayes准则的加权最大似然估计(WMLE)算法,以改善空时自适应处理(STAP)中的协方差矩阵估计。
2.
For the clutter power slowly changed environment—range-dependent nonhomogeneity,the weighting covariance matrix estimation algorithm is proposed which is based on the relative distance criterion.
针对杂波功率依距离缓变的非均匀环境,提出了基于相对距离准则的加权协方差矩阵估计算法。
4)  covariance matrix estimator
协方差阵估计
5)  covariance matrix calculating
方差矩阵估计
6)  estimation error of the covarianee matrix
协方差矩阵估计误差
补充资料:方差估计值
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性质:由样本测定值计算的方差S2,称为样本方差,S2是总体方差σ2的无偏估计值。因此,S2又称为方差估计值或估计方差。S和σ分别为样品测定值的标准差和样本总体呈正态分布的标准差。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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