采用矩阵迭代法可以直接迭代计算特征向量导数，避免了对奇异灵敏度方程的求解。
Using matrix iteration methods, the eigenvector derivatives can be iterated directly, solving the singular sensitivity equation can be avoided.
由目标的实测数据，计算特征向量总体的均值和协方差矩阵及其逆矩阵，由距离判别法进行目标识别。
The mean and covariance matrixes and their inverse matrixes of all eigen vectors are obtained through measured data of the target. And the target is recognized by techniques of range discrimination.
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