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.
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 eigendecomposition 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.
出处
《电波科学学报》
EI
CSCD
北大核心
2014年第1期135-142,194,共9页
Chinese Journal of Radio Science
基金
国家自然科学基金(61271291
61201285)
新世纪优秀人才支持计划(NCET-09-0630)
全国优秀博士学位论文作者专项资金资助项目(FANEDD-201156)
中央高校基本科研业务费专项资金资助课题
关键词
稳健波束形成
矩阵加权
特征值分解
系统复杂度
robust beamforming
matrix weighted
eigenvalue decomposetion
system complexity
