Journal Article

·2013

Spectrum sensing for cognitive radio with selection combining receiver antenna diversity

Mustafa Namdar YTU , Hacı İlhan YTU , Lütfiye Durak-Ata YTU

Abstract

In this study the performance analysis of energy detector method for the spectrum sensing model in cognitive radio networks over Rayleigh fading channel with selection combining of the receiver diversity technique is examined. Here, energy detector model for non-cooperative spectrum sensing is investigated in which Chirp-z transform is used. The Chirp-z transform is proposed as an efficient algorithm to increase the dispersed frequency spectrum utilization, provides a flexibility to work only on the frequency spectrum of interest. The general closed form mathematical equation of the optimal detection threshold for selection combining receiver diversity technique is derived over Rayleigh fading channel. The performance analysis of the proposed system model is investigated with the optimal detection threshold value and presented through ROC curve for different SNR values. The achieved results validate the spectrum sensing performance increase in selection combining of the receiver antenna diversity technique, compared to the no diversity case.

Keywords

Cognitive radio Rayleigh fading Detector Fading Computer science Diversity gain Selection (genetic algorithm) Chirp Energy (signal processing) Channel (broadcasting) Antenna (radio) Antenna diversity Telecommunications Electronic engineering Diversity combining Cooperative diversity Algorithm Chirp spread spectrum Mathematics Spread spectrum Wireless Statistics Engineering Physics Artificial intelligence Direct-sequence spread spectrum Optics

Subject Areas

Cognitive Radio Networks and Spectrum Sensing ·Computer Networks and Communications ·Physical Sciences
Advanced MIMO Systems Optimization ·Electrical and Electronic Engineering ·Physical Sciences
Distributed Sensor Networks and Detection Algorithms ·Computer Networks and Communications ·Physical Sciences

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