Low complexity DOA estimation for massive UCA with single snapshot

doi:10.23919/JSEE.2022.000003

Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (1): 22-27.doi: 10.23919/JSEE.2022.000003

收稿日期:2020-12-07 出版日期:2022-01-18 发布日期:2022-02-22

Low complexity DOA estimation for massive UCA with single snapshot

Ping LI(), Jianfeng LI*(), Gaofeng ZHAO()

¹ College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received:2020-12-07 Online:2022-01-18 Published:2022-02-22
Contact: Jianfeng LI E-mail:liping3216@163.com;lijianfeng@nuaa.edu.cn;zhaogaofeng@nuaa.edu.cn
About author:|LI Ping was born in 1996. He received his B.S degree in electronic information engineering from Hohai University in 2019. Currently he is studying towards his M.S. degree in the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics. His research interest is array signal processing. E-mail: liping3216@163.com||LI Jianfeng was born in 1988. He received his B.S. degree in communication engineering and Ph.D. degree in communication and information system from Nanjing University of Aeronautics and Astronautics in 2010 and 2015 respectively. Currently he is an associate professor in Nanjing University of Aeronautics and Astronautics. His research interests include array signal processing, emitter direction finding and positioning, MIMO radar signal processing. E-mail: lijianfeng@nuaa.edu.cn||ZHAO Gaofeng was born in 1995. He received his B.S degree in communication engineering from Jilin University in 2019. Currently he is studying for his master’s degree in communication and information system of Nanjing University of Aeronautics and Astronautics. His research interests include array signal processing, direct localization and compressed sensing. E-mail: zhaogaofeng@nuaa.edu.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (61971217; 61601167), Jiangsu Planned Project for Postdoctoral Research Funds (2020Z013), China Postdoctoral Science Foundation (2020M681585), the fund of State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE 2021Z0101B), and the fund of State Key Laboratory of Marine Resource Utilization in South China Sea (Hainan University) (MRUKF2021033)

摘要/Abstract

Abstract:

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 reconstruct 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 obtained by compensating the offsets, which are obtained via least squares (LS) without any complex searches. In addition, the refinement can be iteratively implemented to enhance the estimation results. Compared to the offset search method, the proposed method achieves a better estimation performance while requiring lower complexity. Numerical simulations are presented to demonstrate the effectiveness of the proposed method.

Key words: direction of arrival (DOA) estimation, massive uniform circular array, Taylor expansion, low complexity

. [J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 22-27.

Ping LI, Jianfeng LI, Gaofeng ZHAO. Low complexity DOA estimation for massive UCA with single snapshot[J]. Journal of Systems Engineering and Electronics, 2022, 33(1): 22-27.

图/表 7

参考文献 30

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Low complexity DOA estimation for massive UCA with single snapshot

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