Spectrum Sensing Based on Modulated Wideband Converter with CoSaMP Reconstruction Algorithm

Minglei Tong; Yong Bai

Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings

Research Article

Spectrum Sensing Based on Modulated Wideband Converter with CoSaMP Reconstruction Algorithm

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@INPROCEEDINGS{10.1007/978-3-319-72998-5_15,
    author={Minglei Tong and Yong Bai},
    title={Spectrum Sensing Based on Modulated Wideband Converter with CoSaMP Reconstruction Algorithm},
    proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings},
    proceedings_a={WICON},
    year={2018},
    month={1},
    keywords={Spectrum sensing Modulated Wideband Converter (MWC) Orthogonal Matching Pursuit (OMP) Compressive Sampling Matching Pursuit (CoSaMP)},
    doi={10.1007/978-3-319-72998-5_15}
}

Minglei Tong
Yong Bai
Year: 2018
Spectrum Sensing Based on Modulated Wideband Converter with CoSaMP Reconstruction Algorithm
WICON
Springer
DOI: 10.1007/978-3-319-72998-5_15

Minglei Tong¹, Yong Bai¹^,*

1: Hainan University

*Contact email: bai@hainu.edu.cn

Abstract

Modulated Wideband Converter (MWC) provides a sub-Nyquist sampling approach for wideband spectrum sensing. In previous studies, reconstruction algorithm, OMP (Orthogonal Matching Pursuit) is used in the CTF (continuous-to-finite) block of MWC for frequency support recovery. However, the percentage of correct support recovery is low at low SNR (Signal Noise Ratio) using OMP algorithm. In this paper, the reconstruction algorithm of CoSaMP (Compressive Sampling Matching Pursuit) is investigated to be used in the CTF block instead of OMP. Simulation results demonstrate that such a proposal can achieve higher percentage of correct support recovery than with OMP algorithm.

Keywords: Spectrum sensing Modulated Wideband Converter (MWC) Orthogonal Matching Pursuit (OMP) Compressive Sampling Matching Pursuit (CoSaMP)

Published: 2018-01-19
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-72998-5_15