一种基于期望信号预减除的稳健自适应波束形成方法  

A Robust Adaptive Beamforming Method Based on Desired Signal Pre-removal

作　　者：桂子杭 黎杨 李琼[1,2] GUI Zihang;LI Yang;LI Qiong(School of Electronic and Information Engineering,Wuhan Institute of Technology,Wuhan 430205,China;Hubei Video Image and HD Projections Engineering Research Center,Wuhan 430205,China)

机构地区：[1]武汉工程大学电气信息学院,湖北武汉430205 [2]湖北省视频图像与高清投影工程技术研究中心,湖北武汉430205

出　　处：《电视技术》2022年第7期42-46,59,共6页Video Engineering

摘　　要：针对自适应波束形成中的期望信号自消除问题,提出一种干扰加噪声协方差矩阵重建稳健自适应波束形成方法。算法具有较低的计算时间复杂度。该方法首先使用波达方向估计技术得到期望信号的波达方向,其次对每两根相邻天线的接收信号进行特定的加权相减,能够减除阵列信号中的期望信号成分,继而得到不含期望信号且保留了干扰加和噪声的更新阵列信号,再次,使用更新阵列信号计算干扰加噪声协方差矩阵,最后计算得到加权矢量。理论分析给出了减除期望信号过程的原理和算法的复杂度,仿真结果表明,在16阵元情况下,所提算法的输出信干噪比(Signal to Interference plus Noise Ratio,SINR)性能比最优值低0.52 dB,因自由度损失造成的性能损失小于0.3 dB,综合性能优于其他对比的方法。The desired signal self-nulling is a serious problem in adaptive beamforming.In this paper,we propose a low complexity interference-plus-noise covariance matrix reconstruction-based robust adaptive beamforming method.The main idea is that a weighted subtraction is performed on the received signals of every two adjacent antennas with prior knowledge of the desired signal’s directionof-arrival,so as to remove the desired signal component,and then obtain the interference plus noise component to calculate the interference-plus-noise covariance matrix and finally the weight vector.Theoretical analysis is presented to prove that the desired signal can be removed with low computational complexity.Simulation results are given to show the effectiveness of the proposed method compared with other methods,the Signal to Interference plus Noise Ratio(SINR)performance of the proposed method is 0.52 dB lower than optimal value,and the performance loss caused by freedom is less than 0.3 dB.

关 键 词：阵列信号处理 自适应 波束形成 均匀直线阵列 

分 类 号：TN911.7[电子电信—通信与信息系统]