DocumentCode :
2422357
Title :
Multi-Frequency GLRT Spectrum Sensing for Wideband Cognitive Radio
Author :
Font-Segura, Josep ; Vázquez, Gregori ; Riba, Jaume
Author_Institution :
Signal Theor. & Commun. Dept., Tech. Univ. of Catalonia (UPC), Barcelona, Spain
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
The problem of spectrum sensing in multi-frequency cognitive radio systems is addressed. We show that as the sensed bandwidth increases, the primary user detection is governed by a low signal-to-noise ratio (low-SNR) regime. By means of low-SNR approximations, we show that the optimal generalized likelihood ratio test (GLRT) only depends on the second order statistics of the observations and on a shaping kernel that highlights the relevant parameters required for detection. Furthermore, the ML estimates of the unknown model parameters are derived for multi-frequency systems, which allow closed-form expressions for the GLRT statistic. The detection performance and the kernel interpretation are supported with simulation results.
Keywords :
approximation theory; cognitive radio; higher order statistics; maximum likelihood estimation; radio spectrum management; signal detection; ML estimation; low signal-to-noise ratio; low-SNR approximation; multifrequency GLRT spectrum sensing; optimal generalized likelihood ratio test; primary user detection; second order statistics; wideband cognitive radio; Cognitive radio; Detectors; Kernel; Maximum likelihood estimation; Noise; Wideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1550-3607
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/icc.2011.5963314
Filename :
5963314
Link To Document :
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