NDLI: Blind multiband spectrum sensing for cognitive radio systems with smart antennas

Content Provider	IET Digital Library
Author	Qing, Haobo Liu, Yuanan Xie, Gang Liu, Kaiming Liu, Fang
Abstract	Energy detection is a widely used method for spectrum sensing in cognitive radios because of its simplicity and accuracy. However, it is severely affected by noise uncertainty. To solve this problem, this study raises a blind multiband spectrum sensing method with smart antennas which is robust to noise uncertainty. The proposed method performs spectrum sensing simultaneously over the total frequency channels rather than a single channel each time. Owing to the fact that the noise eigenvectors of the sample covariance matrix are orthogonal to the direction matrix whereas the signal eigenvectors are not, the proposal utilises the Gerschgorin radii of the unitary transformed covariance matrix to distinguish the noise from the signal. Unlike the conventional sensing methods, the authors' approach does not need any prior knowledge of the noise power or the primary user signals, which makes it suitable for blind spectrum sensing. This study presents simulations in various conditions to validate the performance of the proposed scheme and shows that their proposal outperforms the other existing methods.
Starting Page	914
Ending Page	920
Page Count	7
ISSN	17518628
Volume Number	8
e-ISSN	17518636
Issue Number	Issue 6, Apr (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2013.0738
Journal	IET Communications
Publisher Date	2014-02-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Antenna Array Antenna Array Blind Multiband Spectrum Sensing Cognitive Radio Cognitive Radio System Conventional Sensing Method Covariance Matrices Direction Matrix Eigen Values And Eigen Function Energy Detection Frequency Channel Gerschgorin Radii Linear Algebra Measurement Uncertainty Multifrequency Antenna Noise EigenVector Noise Uncertainty Numerical Analysis Primary User Signal Radio Link And Equipment Radio Spectrum Management Sample Covariance Matrix Signal Detection Smart Antenna Unitary Transformed Covariance Matrix Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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