摘要
The one-bit analog-to-digital converters (ADC) can drastically reduce the system complexity and power consumption, which has attracted considerable research interest in the last decade. In this paper, the problem of one-bit quantized signal direction-of-arrival (DOA) estimation via sparse array is considered. The proposed method first gives an approximate reconstruction method to extend the aperture of sparse array, then a compressive sensing method is presented to obtain accurate DOA estimation. The simulation results demonstrate that the proposed method is well suited for scenarios of few antenna elements and small snapshots.
源语言 | 英语 |
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主期刊名 | Fourth International Conference on Signal Processing and Computer Science, SPCS 2023 |
编辑 | Anand Nayyar, Hoshang Kolivand |
出版商 | SPIE |
ISBN(电子版) | 9781510672505 |
DOI | |
出版状态 | 已出版 - 2023 |
活动 | 4th International Conference on Signal Processing and Computer Science, SPCS 2023 - Guilin, 中国 期限: 25 8月 2023 → 27 8月 2023 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 12970 |
ISSN(印刷版) | 0277-786X |
ISSN(电子版) | 1996-756X |
会议
会议 | 4th International Conference on Signal Processing and Computer Science, SPCS 2023 |
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国家/地区 | 中国 |
市 | Guilin |
时期 | 25/08/23 → 27/08/23 |
指纹
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Zhang, S., Xu, Y., Yu, J., Li, Y., & Liu, Z. (2023). Compressive sensing based one-bit sparse array direction-of-arrival estimation. 在 A. Nayyar, & H. Kolivand (编辑), Fourth International Conference on Signal Processing and Computer Science, SPCS 2023 文章 129700D (Proceedings of SPIE - The International Society for Optical Engineering; 卷 12970). SPIE. https://doi.org/10.1117/12.3012086