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1)  vector admittance
矢量导纳
2)  vector admittance
矢量导纳,复数导纳
3)  steering vector
导向矢量
1.
In view of the DOA of the other signals attained from the weight vector of the algorithm the steering vectors matrix of the interference signals are established.
首先由MVDR算法确定初始权向量;其次根据该权向量与其它用户波达角方向的关系,建立干扰信号的导向矢量矩阵;然后通过正交投影原理,将期望信号的导向矢量投影到干扰信号的零空间上,从而求得最优权值。
2.
Within the null space of the steering vectors vectors matrix of interference signals, the weight vector which is closest to the steering vector of the expected signal and deeply depresses the interference signals simultaneously comed be obtained with least square method through the linear combination of orthogonal basis.
提出了一种新的用于智能天线中极大抑制干扰的波束形成算法 ,在干扰信号的导向矢量矩阵的零空间内 ,经过正交基矢量的线性组合 ,用最小二乘法求得最接近期望信号导向矢量、并同时对各个干扰信号零陷的权值 。
3.
On the basis of analysis of constraint equations,the actual space-time steering vectors of the desired signal can be solved using the Lagrange multiplier methodology.
该算法在宽带信号模型基础上,分解空时宽带波束形成的约束方程,针对多频点约束,推导出空时二维导向矢量真值,得到空时结构可变对角加载波束形成算法的最优权矢量,并给出加载量求解方程,准确地计算出空时波束形成器的对角加载量。
4)  vector derivative
矢量导数
5)  Vector derivation
矢量求导
6)  Lead vector
导联矢量
补充资料:导纳(见相量法)


导纳(见相量法)
admittance

(admittanee)见相量法。
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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