Direct One-Bit DOA Estimation Robust in Presence of Unequal Power Signals
Direction-of-arrival (DOA) estimation is a crucial task in wireless communication and radar systems, with applications spanning beamforming, localization, and target tracking. Conventional methods often require high-resolution quantization, imposing challenges and complexities, particularly in large...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10472480/ |
| _version_ | 1797243324603564032 |
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| author | Amir Masoud Molaei Vincent Fusco Okan Yurduseven |
| author_facet | Amir Masoud Molaei Vincent Fusco Okan Yurduseven |
| author_sort | Amir Masoud Molaei |
| collection | DOAJ |
| description | Direction-of-arrival (DOA) estimation is a crucial task in wireless communication and radar systems, with applications spanning beamforming, localization, and target tracking. Conventional methods often require high-resolution quantization, imposing challenges and complexities, particularly in large-scale antenna arrays. One-bit DOA estimation has emerged as a groundbreaking alternative, aiming to achieve accurate results without the need for high-resolution measurements. However, state-of-the-art approaches either require reconstruction of an unquantized covariance matrix or sparse signal recovery, or are based on restrictive assumptions such as the equality of power of signal sources. In this paper, a novel approach for direct one-bit DOA estimation is presented, overcoming the limitations of previous methods by introducing a generalized one-bit covariance matrix and smoothing it. Through analytical and numerical analyses, we reveal the shortcomings of the direct application of the one-bit covariance matrix, particularly in scenarios with unequal signal powers. Comparative simulations demonstrate the superiority of the proposed approach, especially in scenarios with significant signal-to-noise ratio differences and a limited number of snapshots. |
| first_indexed | 2024-04-24T18:53:18Z |
| format | Article |
| id | doaj.art-bd757ae02de64e07a04ba7cab83f7a84 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:53:18Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bd757ae02de64e07a04ba7cab83f7a842024-03-26T17:48:14ZengIEEEIEEE Access2169-35362024-01-0112400114001810.1109/ACCESS.2024.337724610472480Direct One-Bit DOA Estimation Robust in Presence of Unequal Power SignalsAmir Masoud Molaei0https://orcid.org/0000-0001-8470-7385Vincent Fusco1https://orcid.org/0000-0002-4041-4027Okan Yurduseven2https://orcid.org/0000-0002-0242-3029Institute of Electronics, Communications, and Information Technology, Queen’s University Belfast, Belfast, U.K.Institute of Electronics, Communications, and Information Technology, Queen’s University Belfast, Belfast, U.K.Institute of Electronics, Communications, and Information Technology, Queen’s University Belfast, Belfast, U.K.Direction-of-arrival (DOA) estimation is a crucial task in wireless communication and radar systems, with applications spanning beamforming, localization, and target tracking. Conventional methods often require high-resolution quantization, imposing challenges and complexities, particularly in large-scale antenna arrays. One-bit DOA estimation has emerged as a groundbreaking alternative, aiming to achieve accurate results without the need for high-resolution measurements. However, state-of-the-art approaches either require reconstruction of an unquantized covariance matrix or sparse signal recovery, or are based on restrictive assumptions such as the equality of power of signal sources. In this paper, a novel approach for direct one-bit DOA estimation is presented, overcoming the limitations of previous methods by introducing a generalized one-bit covariance matrix and smoothing it. Through analytical and numerical analyses, we reveal the shortcomings of the direct application of the one-bit covariance matrix, particularly in scenarios with unequal signal powers. Comparative simulations demonstrate the superiority of the proposed approach, especially in scenarios with significant signal-to-noise ratio differences and a limited number of snapshots.https://ieeexplore.ieee.org/document/10472480/Direction-of-arrival estimationone-bit measurementssensor arraysources power |
| spellingShingle | Amir Masoud Molaei Vincent Fusco Okan Yurduseven Direct One-Bit DOA Estimation Robust in Presence of Unequal Power Signals IEEE Access Direction-of-arrival estimation one-bit measurements sensor array sources power |
| title | Direct One-Bit DOA Estimation Robust in Presence of Unequal Power Signals |
| title_full | Direct One-Bit DOA Estimation Robust in Presence of Unequal Power Signals |
| title_fullStr | Direct One-Bit DOA Estimation Robust in Presence of Unequal Power Signals |
| title_full_unstemmed | Direct One-Bit DOA Estimation Robust in Presence of Unequal Power Signals |
| title_short | Direct One-Bit DOA Estimation Robust in Presence of Unequal Power Signals |
| title_sort | direct one bit doa estimation robust in presence of unequal power signals |
| topic | Direction-of-arrival estimation one-bit measurements sensor array sources power |
| url | https://ieeexplore.ieee.org/document/10472480/ |
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