Compressive wide-band spectrum sensing

Authors:
Yvan Lamelas Polo; Ying Wang;Ashish Pandharipande;Geert Leus
Affiliations:
Faculty of Electrical Engineering, Delft University of Technology, The Netherlands;Philips Research Europe, Eindhoven, The Netherlands;Philips Research Europe, Eindhoven, The Netherlands;Faculty of Electrical Engineering, Delft University of Technology, The Netherlands
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Abstract

We present a compressive wide-band spectrum sensing scheme for cognitive radios. The received analog signal at the cognitive radio sensing receiver is transformed in to a digital signal using an analog-to-information converter. The autocorrelation of this compressed signal is then used to reconstruct an estimate of the signal spectrum. We evaluate the performance of this scheme in terms of the mean squared error of the power spectrum density estimate and the probability of detecting signal occupancy.