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
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;
Conference_Titel :
Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-2517-4
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2009.5073595
