Paper Info
Title
Blind spectrum sensing using symmetry property of cyclic autocorrelation function: from theory to practice.
Abstract
Spectrum sensing has been identified as the key step of the cognition cycle and the most important function for the establishment of cognitive radio. In this paper, a blind cyclostationary feature detector, which is based on the symmetry property of cyclic autocorrelation function (SP-CAF), is implemented and tested using universal software radio peripheral platform and GNU Radio open-source software development toolkit. Performance of the SP-CAF is compared to the classical energy detector via various tests conducted in real scenarios where both detection algorithms are employed to blindly sense the spectrum for opportunistic access. This study shows that the blind cyclostationary feature detector outperforms the classical energy detector while guaranteeing acceptable complexity and low sensing time. Moreover, different experimental results indicate that the blind sensing detector can achieve high detection probability at a low false alarm probability under real channel conditions and low signal-to-noise ratio.
Year
DOI
Venue
2014
10.1186/1687-1499-2014-26
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
False Alarm, Cognitive Radio, Primary User, Energy Detector, Orthogonal Match Pursuit
False alarm,Computer science,Universal Software Radio Peripheral,Communication channel,Algorithm,Speech recognition,Real-time computing,Detector,Cyclostationary process,Software development,Autocorrelation,Cognitive radio
Journal
Volume
Issue
ISSN
2014
1
1687-1499
Citations 
PageRank 
References 
8
0.57
15
Authors
7
Name
Order
Citations
PageRank
Lise Safatly191.64
Babar Aziz2404.26
Amor Nafkha36713.73
Yves Louët411223.96
Youssef Nasser511535.36
Ali El-Hajj62310.45
Karim Y. Kabalan7189.31