数据采集与处理2018，Vol.33Issue(1)：85-92,8.DOI:10.16337/j.1004-9037.2018.01.010
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
摘要
Abstract
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 con-straint.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Key words
array signal processing/sparse reconstruction/direction-of-arrival(DOA)estimation/vector antenna array分类
信息技术与安全科学引用本文复制引用
殷冰洁,徐友根,刘志文..基于COLD阵列的联合稀疏重构信号DOA估计方法[J].数据采集与处理,2018,33(1):85-92,8.基金项目
国家自然科学基金(61331019,61490691)资助项目. （61331019,61490691）
