基于G-LCOP算法的自适应方向图控制

Adaptive Pattern Control based on G-LCOP Algorithm

自适应方向图控制是阵列信号处理的关键,这里在广义线性约束正交投影算法(G-LCOP,Generalized Linearly Constrained Orthogonal Projection)基础上进行了自适应方向图控制算法(APC,Adaptive Pattern Control)的研究,G-LCOP算法能够在降秩的同时保留原有线性约束,并在此基础上增加了新的线性约束,并将静态权矢量向优化的干扰子空间投影,从而形成一种新的广义线性约束正交投影自适应方向图控制算法(G-LCOP-APC,Generalized Linearly Constrained Orthogonal Projection Adaptive Pattern Control),用新权矢量得到的自适应方向图能够较好地逼近期望的静态方向图,有效地压制干扰和噪声。

Adaptive pattern control is the key to array signal processing,and the adaptive pattern control algorithm（APC） based on generalized linear constrained orthogonal projection algorithm（G-LCOP） is studied.G-LCOP algorithm can reduce rank while retaining the original linear constraint,and based on this,a new linear constraint is added,and the static weight vector is projected on the optimized interference sub-space,thereby forming a new algorithm G-LCOP-APC,and the adaptive pattern obtained with new weight vector could have a better approximation to the desired static pattern,and effectively suppress the interference and noise.