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Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition
Joint Authors
Xie, Mingshan
Bai, Yong
Hu, Zhuhua
Zhao, Yaochi
Shen, Chong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-25
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
The Modulated Wideband Converter (MWC) can provide a sub-Nyquist sampling for continuous analog signal and reconstruct the spectral support.
However, the existing reconstruction algorithms need a priori information of sparsity order, are not self-adaptive for SNR, and are not fault tolerant enough.
These problems affect the reconstruction performance in practical sensing scenarios.
In this paper, an Adaptive and Blind Reduced MMV (Multiple Measurement Vectors) Boost (ABRMB) scheme based on singular value decomposition (SVD) for wideband spectrum sensing is proposed.
Firstly, the characteristics of singular values of signals are used to estimate the noise intensity and sparsity order, and an adaptive decision threshold can be determined.
Secondly, optimal neighborhood selection strategy is employed to improve the fault tolerance in the solver of ABRMB.
The experimental results demonstrate that, compared with ReMBo (Reduce MMV and Boost) and RPMB (Randomly Projecting MMV and Boost), ABRMB can significantly improve the success rate of reconstruction without the need to know noise intensity and sparsity order and can achieve high probability of reconstruction with fewer sampling channels, lower minimum sampling rate, and lower approximation error of the potential of spectral support.
American Psychological Association (APA)
Hu, Zhuhua& Bai, Yong& Zhao, Yaochi& Shen, Chong& Xie, Mingshan. 2017. Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1205756
Modern Language Association (MLA)
Hu, Zhuhua…[et al.]. Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1205756
American Medical Association (AMA)
Hu, Zhuhua& Bai, Yong& Zhao, Yaochi& Shen, Chong& Xie, Mingshan. Adaptive and Blind Wideband Spectrum Sensing Scheme Using Singular Value Decomposition. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1205756
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205756