Low complexity DOA estimation for massive UCA with single snapshot

• 作者: LI Ping LI Jianfeng ZHAO Gaofeng
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: ELECTRONICS TECHNOLOGY
• 页码范围: 22-27
• 页数: 6页
• 语种: 英文
• DOI: 10.23919/JSEE.2022.000003

摘要

In this paper,a low complexity direction of arrival(DOA)estimation method for massive uniform circular array(UCA)with single snapshot is proposed.Firstly,the coarse DOAs are estimated by finding the peaks from the circular convolution between a fixed coefficient vector and the received data vector.Thereafter,in order to refine coarse DOA estimates,we recon-struct the direction matrix based on the coarse DOA estimations and take the first order Taylor expansion with DOA estimation offsets into account.Finally,the refined estimations are ob-tained by compensating the offsets,which are obtained via least squares(LS)without any complex searches.In addition,the re-finement can be iteratively implemented to enhance the estima-tion results.Compared to the offset search method,the pro-posed method achieves a better estimation performance while requiring lower complexity.Numerical simulations are presented to demonstrate the effectiveness of the proposed method.