基于COLD阵列的联合稀疏重构信号DOA估计方法  

DOA Estimation with COLD Array Using Joint Sparse Reconstruction

作　　者：殷冰洁 徐友根[1] 刘志文[1] Yin Bingjie;Xu Yougen;Liu Zhiwen(School of Information and Electronics,Beijing Institute of Technology,Beijing,100081,China)

机构地区：[1]北京理工大学信息与电子学院,北京100081

出　　处：《数据采集与处理》2018年第1期85-92,共8页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61331019;61490691)资助项目

摘　　要：针对窄带和宽带两种情形,提出了一种基于同点正交磁环偶极子矢量天线(Co-centered orthogonal loop and dipole,COLD)阵列的联合稀疏重构信号波达方向(Direction-of-arrival,DOA)估计方法。该方法首先构造极化-空间域协方差矩阵,并对其第一列进行稀疏表示,在此基础上利用COLD阵列可视为相互垂直的磁环阵列和偶极子阵列这一特点,采用l2-范数约束下的凸优化(l1-范数)联合稀疏重构技术实现信号DOA估计。仿真实验表明,该方法较之现有方法具有分辨力高、估计精度高等优点。A joint sparse reconstruction method is proposed for the estimation of the direction-of-arrival(DOA)of narrowband or wideband signals by using a co centered orthogonal loop and dipole(COLD)vector antenna array.This method is based on the sparse representation of the first column vector of the polarization-space covariance matrix constructed by the output of the COLD array,which can be regarded as two perpendicular loops and dipole separated antenna arrays.The DOA estimates are then obtained via the convex optimation(l1-norm based)joint sparse reconstruction technique under the l2-norm constraint.Simulation results show the superior performance of the presented method over the traditional methods in terms of resolution and DOA estimation accuracy.

关 键 词：阵列信号处理 稀疏重构 波达方向估计 矢量天线阵列 

分 类 号：TN911.7[电子电信—通信与信息系统]