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ICASSP
2009
IEEE

Compressive wide-band spectrum sensing

8 years 11 months ago
Compressive wide-band spectrum sensing
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.
Yvan Lamelas Polo, Ying Wang, Ashish Pandharipande
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Yvan Lamelas Polo, Ying Wang, Ashish Pandharipande, Geert Leus
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