数据采集与处理2016，Vol.31Issue(2)：268-275,8.DOI:10.16337/j.1004-9037.2016.02.005
电磁矢量阵中基于平行因子压缩感知的角度估计算法
Angle Estimation for Electromagnetic Vector Sensor Array via Compressed Sensing-Par-allel Factor
摘要
Abstract
We combine the parallel factor framework with the compressed sensing theory to solve the problem of the direction of arrival estimation for the electromagnetic vector sensor array .We first rear‐range the received data matrix as a parallel factor model ,and compress it to a smaller one based on the compressed sensing theory .Then the trilinear alternating least square algorithm is exploited to decom‐pose the compressed parallel factor model .Finally ,the angle estimation is obtained with sparsity .Owing to compression ,the computational complexity of the algorithm is lower than that of the conventional par‐allel factor model‐based algorithm ,and more storage memory is saved .The algorithm needs no peak searching and is applicable to both uniform and non‐uniform linear array .Moreover ,the angle estimation performance of the proposed algorithm is better than that of the ESPRIT algorithm and close to that of the conventional parallel factor model‐based algorithm ,which can be verified by various simulations .关键词
平行因子/压缩感知/波达方向估计/电磁矢量传感器Key words
parallel factor/compressed sensing/direction of arrival estimation/electromagnetic vector sensor分类
信息技术与安全科学引用本文复制引用
张小飞,李书,郑旺..电磁矢量阵中基于平行因子压缩感知的角度估计算法[J].数据采集与处理,2016,31(2):268-275,8.基金项目
国家自然科学基金（61371169）资助项目。 （）
