三角洲量单位权方差的先验估值一般用经典菲列罗公式计算。
A prior estimate of unit weight variance is usually calculated by the classicalFerrelo's formula.
算法将网络训练看成是求解一个优化问题，网络权是优化变量，而先验知识则是优化问题中的约束项。
It takes the network training process as to solve a nonlinear optimization problem. The network weights are optimization variables and prior-knowledge is the constraint.
该方法首先在不知道任何基阵方向向量先验知识的情况下，利用信号的多普勒信息估计波束形成的权矢量。
The weight vector of beamforming is estimated by Doppler information of the signal first, then it is approximated by RBFNN to carry out the blind optimizing beamforming.
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