Reconfigurable Intelligent Surface Aided DOA Estimation by a Single Receiving Antenna

Most existing direction of arrival (DOA) estimation methods are based on antenna arrays for line-of-sight (LOS) propagation. In this article, a different and challenging DOA estimation problem with a single receiving antenna in the non-line-of-sight (NLOS) scenario is addressed, where a reconfigurable intelligent surface (RIS) is combined with two robust array spatial covariance matrix (SCM) reconstruction schemes to solve the problem. In detail, a two-stage approach for high-efficiency RIS phase shifting is first designed, and then the Tikhonov regularization criterion and total least-squares (TLS) criterion are respectively exploited for SCM reconstruction with and without phase shift error (PSE), yielding an improved DOA estimation performance with reduced complexity. Theoretical analysis on the performance of SCM reconstruction is conducted, and simulation results are provided to show the effectiveness of the proposed solutions.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2024-08-22
DOI
https://doi.org/10.1109/tcomm.2024.3447840
Citations
4
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.83

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article

Reconfigurable Intelligent Surface Aided DOA Estimation by a Single Receiving Antenna

Ye Tian, Hua Chen, Wei Liu, Gang Wang et al.
4 citations
IEEE Transactions on Communications
Indoor and Outdoor Localization Technologies
0.83
article

Reconfigurable Intelligent Surface Aided DOA Estimation by a Single Receiving Antenna

Ye Tian, Hua Chen, Wei Liu, Gang Wang, Yu Feng
article en
4 citations

Abstract

Most existing direction of arrival (DOA) estimation methods are based on antenna arrays for line-of-sight (LOS) propagation. In this article, a different and challenging DOA estimation problem with a single receiving antenna in the non-line-of-sight (NLOS) scenario is addressed, where a reconfigurable intelligent surface (RIS) is combined with two robust array spatial covariance matrix (SCM) reconstruction schemes to solve the problem. In detail, a two-stage approach for high-efficiency RIS phase shifting is first designed, and then the Tikhonov regularization criterion and total least-squares (TLS) criterion are respectively exploited for SCM reconstruction with and without phase shift error (PSE), yielding an improved DOA estimation performance with reduced complexity. Theoretical analysis on the performance of SCM reconstruction is conducted, and simulation results are provided to show the effectiveness of the proposed solutions.

IEEE Transactions on CommunicationsVol. 73(2)
Ningbo University (CN), Hong Kong Polytechnic University (HK)
National Natural Science Foundation of China, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 27%
Indoor and Outdoor Localization Technologies
0.83
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