One-Bit Quantization with Sub-Nyquist Sampling: A Low-Complexity Receiver Design in ISAC System

In this paper, a low-complexity receiver is designed for low-priced hardware implementation in the integrated sensing and communication (ISAC) system. The receiving antennas are sparsely located, and the signal is sampled with low-resolution and low-sampling rate analog-to-digital converters (ADCs). An orthogonal frequency division multiplexing-based ISAC waveform is considered where preambles are used for target sensing. Range, Doppler and direction-of-arrival are estimated via a block-sparse quantized orthogonal matching pursuit (BS-QOMP) method. Numerical results show that the estimation performance of the proposed scheme degrades 8.5 dB compared with the conventional design, while having a 74 dB reduction in power consumption. And the localization error under the practical base station (BS) setting is 0.2 m for the target located 400 m away from the BS.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868036
Citations
1
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
0.18

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article

One-Bit Quantization with Sub-Nyquist Sampling: A Low-Complexity Receiver Design in ISAC System

Dingyou Ma, Zhiyong Feng, Qixun Zhang, Puxi Yu
1 citations
Analog and Mixed-Signal Circuit Design
0.18
article

One-Bit Quantization with Sub-Nyquist Sampling: A Low-Complexity Receiver Design in ISAC System

Dingyou Ma, Zhiyong Feng, Qixun Zhang, Puxi Yu
article en
1 citations

Abstract

In this paper, a low-complexity receiver is designed for low-priced hardware implementation in the integrated sensing and communication (ISAC) system. The receiving antennas are sparsely located, and the signal is sampled with low-resolution and low-sampling rate analog-to-digital converters (ADCs). An orthogonal frequency division multiplexing-based ISAC waveform is considered where preambles are used for target sensing. Range, Doppler and direction-of-arrival are estimated via a block-sparse quantized orthogonal matching pursuit (BS-QOMP) method. Numerical results show that the estimation performance of the proposed scheme degrades 8.5 dB compared with the conventional design, while having a 74 dB reduction in power consumption. And the localization error under the practical base station (BS) setting is 0.2 m for the target located 400 m away from the BS.

Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 49%
Analog and Mixed-Signal Circuit Design
0.18
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