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基于矩阵加权的稳健波束形成方法

罗涛, 刘宏伟, 纠博, 关永峰, 吴梦

罗涛, 刘宏伟, 纠博, 关永峰, 吴梦. 基于矩阵加权的稳健波束形成方法[J]. 电波科学学报, 2014, 29(1): 135-142+194. doi: 10.13443/j.cjors.2013032501
引用格式: 罗涛, 刘宏伟, 纠博, 关永峰, 吴梦. 基于矩阵加权的稳健波束形成方法[J]. 电波科学学报, 2014, 29(1): 135-142+194. doi: 10.13443/j.cjors.2013032501
LUO Tao, LIU Hongwei, JIU Bo, GUAN Yongfeng, WU Meng. Robust beamforming via Matrix weighted method[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(1): 135-142+194. doi: 10.13443/j.cjors.2013032501
Reference format: LUO Tao, LIU Hongwei, JIU Bo, GUAN Yongfeng, WU Meng. Robust beamforming via Matrix weighted method[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(1): 135-142+194. doi: 10.13443/j.cjors.2013032501

基于矩阵加权的稳健波束形成方法

详细信息
    通信作者:

    罗涛 E-mail:taoluo.tl@gmail.com

Robust beamforming via Matrix weighted method

  • 摘要: 提出了一种基于约束主瓣幅度波动范围的矩阵加权波束形成方法,该方法相比已有方法可以有效控制方向图的主瓣形状、旁瓣电平以及零点深度.存在噪声和系统误差时,该方法对于信号功率的估计具有更好的稳健性.通过约束主瓣幅度波动范围波束形成方法求得加权矩阵的协方差矩阵,对该协方差矩阵做特征值分解求得加权矩阵,通过划分特征值大小来确定最小规模的加权矩阵,该加权矩阵可以在不损失方向图形状和信号功率估计性能的条件下有效降低系统实现复杂度.
    Abstract: In this paper we propose a matrix weighted beamforming method which constrains the magnitude ripple range of the mainlobe. Compared with the methods available, our method can control the shape of the mainlobe, the sidelobe level and the null depth of beampattern more effectively. With the noise and systematic errors existed, the estimation of signal power is of better robustness. The covariance matrix of the weighting matrix can be obtained by the matrix weighted beamforming method, and the weighting matrix can be then secured by the eigen-decomposition of the covariance matrix. Meanwhile, the minimum scale of the weighting matrix dimension can be determined by the dominant eigenvalues. With the beampattern shape controlled, this method can maintain the performance of the signal power estimation and the system complexity can be efficiently reduced.
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出版历程
  • 收稿日期:  2013-03-24
  • 网络出版日期:  2020-12-30
  • 发布日期:  2014-02-27

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