Improvement of Wideband Spectrum sensing Reconstruction Algorithms for Wireless Networks
T V N L Aswini1, Padma Raju. K2, Leela Kumari. B3
1T V N L Aswini, Department of Electronics and Communication Engineering Sri Vasavi Engg. College (A) Tadepalligudem, A.P., India.
2Padma Raju. K, Department of Electronics and communication Engineering J. N.T.U.KAKINADA Kakinada, India.
3Leela Kumari. B, Department of Electronics and communication Engineering J. N.T.U.KAKINADA Kakinada, India.
Manuscript received on 03 April 2021 | Revised Manuscript received on 20 April 2021 | Manuscript Accepted on 15 March 2021 | Manuscript published on 30 March 2021 | PP: 1-6 | Volume-1 Issue-1, March 2021 | Retrieval Number: A1001031121/2021©LSP
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There is a tremendous growth in wireless networks and services from the last few years, which increased the urge of radio spectrum. This paved way for the new technology named Cognitive Radio which provides a promising solution for efficient spectrum utilization. Of all the different works of CR, sensing plays a vital role. In this aspect, Compressive sensing, a new paradigm joined hands in further improving the efficiency of CR by sampling the wideband spectrum at sub-Nyquist rates. In this piece of work, proposed enhanced Orthogonal matching pursuit algorithm proved its advantages over normal OMP algorithm by extending the iterations with a run factor. Simulation results justified the increase of detection probability with the proposed algorithm.
Keywords: MWC, Spectrum Sensing, OMP, Support.