Paper Info
Title
Cyclostationarity-Based Spectrum Sensing for Analog TV and Wireless Microphone Signals
Abstract
Spectrum sensing is a vital signal processing task in the cognitive radio systems in order to detect and identify the primary users signals (the licensees). In this paper, we study the performance of cyclostationary features detector as a spectrum sensing technique for IEEE 802.22 Wireless Regional Area Network (WRAN). We propose two algorithms based on cyclostationary features to detect the presence of TV-PAL and wireless microphone signals. These algorithms are evaluated in comparison with energy detector. The results show that the performance of cyclostationarity-based algorithms is superior to energy detector performance especially in the case of noise uncertainty.
Year
DOI
Venue
2009
10.1109/CICSYN.2009.61
CICSyN
Keywords
Field
DocType
cyclostationarity-based spectrum sensing,wireless regional area network,cyclostationary features detector,noise uncertainty,wireless microphone signals,analog tv,cyclostationary feature,energy detector,cyclostationarity-based algorithm,cognitive radio system,energy detector performance,primary users signal,vital signal processing task,communication systems,tv,cognitive radio,computational intelligence,signal processing,data mining,wireless sensor networks,television
Signal processing,Wireless,Analog television,Computer science,Computer network,Electronic engineering,Wireless microphone,Wireless sensor network,Detector,Cyclostationary process,Distributed computing,Cognitive radio
Conference
Citations 
PageRank 
References 
4
0.49
0
Authors
2
Name
Order
Citations
PageRank
Alfateh M. Alhassan Mossa140.49
Varun Jeoti24611.34