DocumentCode
2056440
Title
Improved Spectrum Sensing by Utilizing Signal Autocorrelation
Author
Sharma, Rajesh K. ; Wallace, Jon W.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Jacobs Univ., Bremen
fYear
2009
fDate
26-29 April 2009
Firstpage
1
Lastpage
5
Abstract
A method that exploits the autocorrelation of transmission signals for primary user detection in cognitive radio is proposed. A closed-form analysis of the method is presented and compared with Monte Carlo simulations. Analytical and simulation results indicate that the method provides significant improvement in the probability of detection for moderate SNR scenarios where fast sensing is required. Simulation results indicate the better performance in fading environment and collaborative sensing as well.
Keywords
Monte Carlo methods; cognitive radio; signal detection; Monte Carlo simulations; cognitive radio; collaborative sensing; fading environment; primary user detection; signal autocorrelation; spectrum sensing; transmission signals; Analytical models; Autocorrelation; Bandwidth; Cognitive radio; Computational modeling; Fading; Filtering; Jacobian matrices; Matched filters; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
Conference_Location
Barcelona
ISSN
1550-2252
Print_ISBN
978-1-4244-2517-4
Electronic_ISBN
1550-2252
Type
conf
DOI
10.1109/VETECS.2009.5073595
Filename
5073595
Link To Document