Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 32, Pages: 2596-2606
Deepa N Reddy1*, Yerram Ravinder2
1Assistant Professor, Department of Electronics and Communication, BMS Institute of Technology & Management, Bengaluru, India
2Professor, Department of Electronics and Telecommunication, Pune Institute of Computer Technology, Pune, India
Email: [email protected]
Received Date:06 June 2021, Accepted Date:29 August 2021, Published Date:27 September 2021
Background: Spectrum sensing is a crucial step to realize the Cognitive Radio technology. The spectrum sensing schemes at low signal-to-noise ratio, noise uncertainty and especially under the background of non-Gaussian noise, provide low detection of the primary user. This results in missed detection or false alarm and increases higher interference to the primary user. Objectives: Detection schemes designed for additive Gaussian noise exhibit poor performance in the non-Gaussian environment. This study considers the problem of spectrum sensing with the assumption that the noise follows a non-Gaussian distribution with heavier tails. Methods/findings: A fuzzy logicbased method is proposed for primary user detection under non Gaussian Noise. The results are highlighted for the Laplacian noise. Through Monte Carlo simulations it is observed that Laplacian noise noticeably affects the performance of energy detector. Also, a fractional change in noise uncertainty degrades the performance of energy detector. The performance of the proposed scheme is presented through receiver operating characteristic (ROC) and plot of the detection probability versus signal-to-noise ratio (SNR) using simulations. It is shown that by appropriately choosing the membership functions and the fuzzy rule base in the fuzzy inference system the proposed fuzzy logic method for spectrum sensing provides reliable detection.
Keywords: NonGaussian noise; Fuzzy logic; Spectrum sensing; noise uncertainty
© 2021 Reddy & Ravinder. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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