基于两步最小均方的自适应方向图控制算法

Method of Adaptive Pattern Control Based on the Two-Step Least-Squares

  • 摘要: 针对两步最小均方算法中矩阵迭代运算,提出了修正迭代运算中的期望阵列响应幅度和方向矩阵的自适应方向图控制算法. 该算法利用了期望方向图相位的随机性,并通过迭代更新期望方向图的相位和相应权矢量,实现了方向图的旁瓣控制. 理论分析和仿真结果均表明算法的有效性.

     

    Abstract: A novel adaptive pattern control method is proposed in this paper, which improves the desired array response and direction matrix of two-step least-squares iterative algorithm. The side-lobe pattern control can be achieved by utilizing the randomness of the desired pattern phase and updating iteratively the phase of desired pattern and weigh vector. The efficiency of the proposed algorithm is verified by computer simulation and theoretical analysis.

     

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