GBSense: A GHz-Bandwidth Compressed Spectrum Sensing System

This paper presents GBSense, an innovative compressed spectrum sensing system designed for GHz-bandwidth signals in dynamic spectrum access (DSA) applications. GBSense introduces an efficient approach to periodic non-uniform sampling, capturing wideband signals using significantly lower sampling rates compared to traditional Nyquist sampling. By integrating time-interleaved analog-to-digital conversion, GBSense overcomes the hardware complexity typically associated with traditional multicoset sampling, providing precise, adjustable sampling patterns without the need for analog delay circuits. The system’s ability to process signals with a 2 GHz radio frequency bandwidth using only a 400 MHz average sampling rate enables more efficient spectrum monitoring and access in wideband cognitive radios. Lab tests demonstrate 100% accurate spectrum detection when the spectrum occupancy is below 100 MHz and over 80% accuracy for occupancy up to 200 MHz. Additionally, an integrated system utilizing a low-power Raspberry Pi processor achieves a low processing latency of around 30 ms per frame, demonstrating the system’s potential for DSA applications in next-generation wireless networks.

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Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2025-01-27
DOI
https://doi.org/10.1109/tcsi.2025.3530259
Citations
5
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
6.67
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article

GBSense: A GHz-Bandwidth Compressed Spectrum Sensing System

Rahim Tafazolli, Zihang Song, Yue Gao, Xingjian Zhang et al.
5 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Sparse and Compressive Sensing Techniques
6.67
article

GBSense: A GHz-Bandwidth Compressed Spectrum Sensing System

Rahim Tafazolli, Zihang Song, Yue Gao, Xingjian Zhang, Zhe Chen
article en
5 citations

Abstract

This paper presents GBSense, an innovative compressed spectrum sensing system designed for GHz-bandwidth signals in dynamic spectrum access (DSA) applications. GBSense introduces an efficient approach to periodic non-uniform sampling, capturing wideband signals using significantly lower sampling rates compared to traditional Nyquist sampling. By integrating time-interleaved analog-to-digital conversion, GBSense overcomes the hardware complexity typically associated with traditional multicoset sampling, providing precise, adjustable sampling patterns without the need for analog delay circuits. The system’s ability to process signals with a 2 GHz radio frequency bandwidth using only a 400 MHz average sampling rate enables more efficient spectrum monitoring and access in wideband cognitive radios. Lab tests demonstrate 100% accurate spectrum detection when the spectrum occupancy is below 100 MHz and over 80% accuracy for occupancy up to 200 MHz. Additionally, an integrated system utilizing a low-power Raspberry Pi processor achieves a low processing latency of around 30 ms per frame, demonstrating the system’s potential for DSA applications in next-generation wireless networks.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(9)
Harbin Institute of Technology (CN), Fudan University (CN), University of Surrey (GB), King's College School (GB)
Affordable and clean energy
Openalex Percentile: Top 4%
Sparse and Compressive Sensing Techniques
6.67
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GBSense: A GHz-Bandwidth Compressed Spectrum Sensing System — Rahim Tafazolli, Zihang Song, et al. · IEEE Transactions on Circuits and Systems I Regular Papers (2025) | TGRS Research Map | TGRS