Two-Dimensional Off-Grid DOA Estimation Using Unfolded Parallel Coprime Array

被引：53
作者：
Li, Jianfeng [1 ,2 ]
Li, Yunxiang [3 ]
Zhang, Xiaofei [1 ,2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 211106, Jiangsu, Peoples R China
[2] NUAA, Key Lab Dynam Cognit Syst Electromagnet Spectrum, Minist Ind & Informat Technol, Nanjing 211106, Jiangsu, Peoples R China
[3] Hohai Univ, Coll Comp & Informat, Nanjing 211100, Jiangsu, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2018年 / 22卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Two dimensional off-grid DOA; unfolded parallel coprime array; mutual coupling; joint sparse recovery; ANGLE ESTIMATION; DIRECTION;
D O I：
10.1109/LCOMM.2018.2872955
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
A two-dimensional (2-D) off-grid direction of arrival (DOA) estimation method using unfolded parallel coprime array (UPCA) is proposed. The proposed UPCA ensures large inter-element spacing, which is robust to the mutual coupling problem, and 2-D DOA estimation problem is transformed into one dimensional sparse representation (SR), which reduces the computation complexity. Besides, the off-grid DOA problem is taken into account and compensated through joint sparse recovery, which only requires a rough grid. Without the prior knowledge of source number, the proposed algorithm achieves improved DOA estimation results while requiring reduced computation complexity when compared to other SR-based methods. Simulation results verify the effectiveness of the algorithm.
引用
收藏
页码：2495 / 2498
页数：4
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