Title :
Distributed compressive wide-band spectrum sensing
Author :
Wang, Ying ; Pandharipande, Ashish ; Polo, Y.L. ; Leus, Polo Geert
Author_Institution :
Philips Res. Eur. - Eindhoven, Eindhoven
Abstract :
We consider a compressive wide-band spectrum sensing scheme for cognitive radio networks. Each cognitive radio (CR) sensing receiver transforms the received analog signal from the licensed system in to a digital signal using an analog-to-information converter. The autocorrelation of the compressed signal is then collected from each CR at a fusion center. A compressive sampling recovery algorithm that exploits joint sparsity is then employed to reconstruct an estimate of the signal spectrum and used to make a decision on signal occupancy. We compare the performance of this distributed compressive spectrum sensing scheme with a compressive spectrum sensing scheme at a single CR and show the performance gains obtained from spatial diversity.
Keywords :
cognitive radio; radio receivers; radio spectrum management; signal sampling; analog-to-information converter; cognitive radio sensing receiver; compressed signal autocorrelation; compressive sampling recovery algorithm; distributed compressive wide-band spectrum sensing; radio spectrum; signal spectrum; Autocorrelation; Chromium; Cognitive radio; Frequency estimation; Performance gain; Sampling methods; Signal processing algorithms; Signal sampling; Wideband; Wireless sensor networks; Cognitive radio; Distributed compressive sampling; Spectrum estimation; Wide-band spectrum sensing;
Conference_Titel :
Information Theory and Applications Workshop, 2009
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-3990-4
DOI :
10.1109/ITA.2009.5044942