摘要
Capon波束形成算法在导向矢量失配与协方差矩阵中含有期望信号的情况下输出信号干扰噪声比(SINR)会大幅下降。针对这一现象,提出一种联合修正的稳健Capon波束形成算法。基于导向矢量与噪声空间的正交性,对估计的期望信号导向矢量进行修正。再基于对残余噪声消除和对干扰功率的估计构造投影矩阵,消除接收信号中的期望信号,修正协方差矩阵。结果表明,该算法相较于其他算法有较高的输出信干噪比,对于导向矢量失配不敏感,具有较高的稳健性。
The Capon beamforming algorithm significantly reduces the Signal to Interference Noise Ratio(SINR) of the output signal when the steering vector mismatch and the covariance matrix contain the expected signal.A Joint Modified Robust Capon(JMRC) beamforming algorithm is proposed to address this phenomenon.Firstly,based on the orthogonality between the steering vector and the noise space,the estimated expected signal steering vector is modified.Based on the elimination of residual noise and the estimation of interference power,a projection matrix is constructed to eliminate the expected signal in the received signal and correct the covariance matrix.Results show that this algorithm has higher output signal to interference noise ratio than other algorithms,is insensitive to steering vector mismatch,and has higher robustness.
作者
唐佳雨
杨竞舟
胡登辉
张暘
李大鹏
TANG Jiayu;YANG Jingzhou;HU Denghui;ZHANG Yang;LI Dapeng(School of Communications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;CETC Advanced Mobile Communication Innovation Center,Nanjing 210019,China)
出处
《无线电通信技术》
2023年第5期971-978,共8页
Radio Communications Technology
基金
国家自然科学基金(61801240)。
关键词
Capon波束形成
导向矢量优化
协方差矩阵重构
空间投影
残余噪声
Capon beamforming
steering vector optimization
covariance matrix reconstruction
space projection
residual noise