一种低快拍情况下零陷展宽波束形成算法  

An Algorithm of Null Broadening Beamforming in Low Snapshot

作　　者：王亚辉 李文兴[1] 张琪 WANG Yahui;LI Wenxing;ZHANG Qi(School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《电视技术》2020年第11期46-49,57,共5页Video Engineering

摘　　要：针对低快拍条件下自适应波束形成零陷展宽深度变浅和主瓣变宽的问题,提出了一种低快拍情况下零陷展宽波束形成算法。该算法基于信号子空间和噪声子空间的正交性原理,利用Capon谱估计器构造相关矩阵,得到投影变换矩阵用以处理原协方差矩阵,并引入虚拟天线技术增加阵列天线自由度来提高阵列分辨率,最后对改进的协方差矩阵进行前后项平均。由于变换后的矩阵具有前后项平均的效果,相当于快拍数加倍,可以提高低快拍数时零陷展宽波束形成性能,增大输出信干噪比。仿真结果表明,该算法具有有效性和优越性。Aiming at the problem that the adaptive beamforming null broadening depth becomes shallower and the main lobe becomes wider under low snapshot conditions,this paper proposes an algorithm for null broadening beamforming under low snapshot conditions.The algorithm is based on the orthogonality principle of the signal subspace and the noise subspace,uses the Capon spectrum estimator to construct the correlation matrix and then obtains the projection transformation matrix to process the original covariance matrix.The introduction of virtual antenna technology increases the freedom of the array antenna and improves the array resolution,and finally average the front and back terms of the improved covariance matrix.Since the transformed matrix has the effect of averaging the front and back terms,which is equivalent to doubling the number of snapshots,the beamforming performance of the null broadening can be improved when the number of snapshots is low,and the output signal to interference noise ratio can be increased.The simulation results verify the effectiveness and superiority of the algorithm.

关 键 词：低快拍 虚拟天线 子空间投影 协方差矩阵 矩阵前后项平均 零陷展宽 

分 类 号：TN967.1[电子电信—信号与信息处理] TN973.3[电子电信—信息与通信工程]