计算机科学
到达方向
算法
循环缓冲器
稀疏逼近
多信号分类
网格
作者
Jianshu Wang,Yangyu Fan,Rui Du,Guoyun Lv
出处
期刊:IEEE Joint International Information Technology and Artificial Intelligence Conference
日期:2019-05-24
卷期号:: 300-305
标识
DOI:10.1109/itaic.2019.8785862
摘要
Two grid-less two-dimensional (2-D) direction of arrival (DOA) estimation methods using uniform rectangular array (URA) or sparse rectangular array (SRA) are proposed in this paper. Firstly, based on URA or SRA, the doubly Toeplitz structure of the covariance matrix of observed signals is established. Secondly, two reconstruction methods of the doubly Toeplitz matrix are presented, i.e., the least squares (LS) method and the reweighted atomic norm (RAN) methods. At last, the azimuth angles and elevation angles are estimated by the 2-D ESPRIT method efficiently. For simplicity, the two DOA estimation methods are denoted by LS and RAN, respectively. The LS method has lower complexity than recently proposed fast grid-less maximum likelihood (FGML) method, while maintain a similar DOA estimation performance. The RAN method has high complexity, while can achieve superior performance of DOA estimation. Numerical experiments verify the effectiveness and good performance of the proposed methods.
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