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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 the array signal processing. Here, based on the Generalized Linearly Constrained Orthogonal Projection (G-LCOP) algorithm, Adaptive Pattern Control (APC) Research, G-LCOP algorithm preserves the original linear constraints while reducing rank, and adds a new linear constraint based on this, and projects the static weight vector to the optimized interference subspace to form a new generalized Linear Constrained Orthogonal Projection Adaptive Pattern Control (GLCOP-APC), the adaptive directional pattern obtained by the new weight vector can approximate the desired static pattern effectively Suppress interference and noise.