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Smart Antennas For Spectrum Sensing Using CognitiveRadio Networks

Veerendra Dakulagi*, MD. Bakhar**, Vani R.M.***

* Assistant Professor, Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidar, Karnataka, India.

** Professor, Department of Electronics and Communication Engineering, Guru Nanak Dev Engineering College, Bidar, Karnataka, India.

*** Reader/Technical Officer-II & Head, University Science Instrumentation Centre, Gulbarga University, Gulbarga, India.

Periodicity:November - January'2017
DOI : https://doi.org/10.26634/jcs.6.1.10357

Abstract

Smart antenna systems have been studied for many years for signal detection and estimation and are used only in military applications until recently. These are becoming popular from recent years and are used in commercial applications due to impulsive advancement in the digital signal processing and VLSI technology. In array signal processing, plethora of problems related to signal detection and estimation is solved using various Direction Of Arrival (DOA) algorithms, including Bartlett, Maximum Likelihood Method (MLM), and Maximum Eigen Value (MEV) method. These algorithms and many variants of these algorithms deteriorate from its performance either for narrow angle or wide angle separation. Hence the authors proposed the DOA estimation algorithm based on Hannan-Quinn (HQ) criterion for wideband spectrum sensing in cognitive networks. Simulation results validate the effectiveness of this method.

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How to Cite this Article?

Veerendra, Bakhar, Md., and Vani R.M.(2017). Smart Antennas For Spectrum Sensing Using Cognitive Radio Networks. i-manager’s Journal on Communication Engineering and Systems, 6(1), 32-37. https://doi.org/10.26634/jcs.6.1.10357

References

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Smart Antennas For Spectrum Sensing Using CognitiveRadio Networks

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