Compressive sensing based one-bit sparse array direction-of-arrival estimation

Siqing Zhang; Yougen Xu; Jiangkun Yu; Yu Li; Zhiwen Liu

doi:10.1117/12.3012086

21 December 2023 Compressive sensing based one-bit sparse array direction-of-arrival estimation

Siqing Zhang, Yougen Xu, Jiangkun Yu, Yu Li, Zhiwen Liu

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700D (2023) https://doi.org/10.1117/12.3012086
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

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.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siqing Zhang, Yougen Xu, Jiangkun Yu, Yu Li, and Zhiwen Liu "Compressive sensing based one-bit sparse array direction-of-arrival estimation", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700D (21 December 2023); https://doi.org/10.1117/12.3012086

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