@inproceedings{5e5fc4782fe94d44aa998a979fe9f407,
title = "Compressive sensing based one-bit sparse array direction-of-arrival estimation",
abstract = "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.",
keywords = "DOA, compressive sensing, one-bit quantization, sparse array",
author = "Siqing Zhang and Yougen Xu and Jiangkun Yu and Yu Li and Zhiwen Liu",
note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; 4th International Conference on Signal Processing and Computer Science, SPCS 2023 ; Conference date: 25-08-2023 Through 27-08-2023",
year = "2023",
doi = "10.1117/12.3012086",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Anand Nayyar and Hoshang Kolivand",
booktitle = "Fourth International Conference on Signal Processing and Computer Science, SPCS 2023",
address = "United States",
}