基于小快拍场景的联合校正稳健波束形成算法  

Joint Correction Robust Beamforming Algorithm Based onSmall Snapshot Scenes

作　　者：张秀清[1] 伊宏波 王晓君[1] ZHANG Xiuqing;YI Hongbo;WANG Xiaojun(School of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050018,China)

机构地区：[1]河北科技大学信息科学与工程学院,河北石家庄050018

出　　处：《无线电工程》2024年第8期1900-1907,共8页Radio Engineering

基　　金：河北省省级科技计划项目——新一代电子信息技术创新专项(21310402D)。

摘　　要：针对传统的自适应波束形成算法在目标导向矢量失配及接收数据的协方差矩阵存在误差时,性能急剧下降的问题,提出了一种基于小快拍场景的联合协方差矩阵重构,及导向矢量优化的稳健波束形成算法。对不确定集约束求解得到干扰导向矢量,根据稀疏干扰来向的导向矢量近似正交,求出干扰导向矢量对应的干扰功率,从而完成协方差矩阵重构;对期望信号来向及其邻域进行权值求解,对加权后的数据特征分解,利用多信号分类(Multiple Signal Classification, MUSIC)谱估计算法对信号区域积分得到信号协方差矩阵,将其主特征值近似为期望信号的导向矢量完成重新估计。仿真结果表明,在无误差时,算法输出信干噪比(Signal to Interference Plus Noise Ratio, SINR)接近理论最优;在多种误差环境下输出性能随信噪比(Signal to Noise Ratio, SNR)的变化均具有较好的稳健性,并且在信号来向可精准形成波束;在小快拍时可以较快收敛至理论最优值。To solve the problem that the performance of traditional adaptive beamforming algorithms decreases sharply when the target steering vector are mismatched and the covariance matrix of the received data has errors,a robust beamforming algorithm based on the joint covariance matrix reconstruction and the optimization of the steering vector is proposed for the small snapshot scenario.The algorithm first solves the uncertainty set constraints to obtain the interference steering vector,and then according to the approximate orthogonality of the guiding vectors of the sparse interference incoming direction,the interference power corresponding to the interference steering vector is obtained,so as to complete the reconstruction of the covariance matrix;and then the weights are solved for the desired signal incoming direction and its neighboring region,and then the eigen decomposition of the weighted data is performed,and the signal covariance matrix is obtained by integrating the signal region using the Multiple Signal Classification(MUSIC)spectral estimation algorithm,and approximate its main eigenvalue as the steering vector of the desired signal to complete the re-estimation.Simulation results show that the algorithm output Signal to Interference Plus Noise Ratio(SINR)is close to the theoretical optimum when there is no error;the output performance is robust to the change of Signal to Noise Ratio(SNR)under various error environments,and the beam can be formed accurately in the direction of the incoming signals;and the algorithm can converge to the theoretical optimum faster in small snapshots.

关 键 词：小快拍 协方差矩阵重构 稳健波束形成 导向矢量估计 

分 类 号：TN911.7[电子电信—通信与信息系统]