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ICASSP
2010
IEEE

Wideband spectral estimation from compressed measurements exploiting spectral a priori information in Cognitive Radio systems

9 years 9 months ago
Wideband spectral estimation from compressed measurements exploiting spectral a priori information in Cognitive Radio systems
In Cognitive Radio scenarios channelization information from primary network may be available to the spectral monitor. Under this assumption we propose a spectral estimation algorithm from compressed measurements of a multichannel wideband signal. The analysis of the Cramer-Rao Lower Bound (CRLB) for this estimation problem shows the importance of detecting the underlaying sparsity pattern of the signal. To this end we describe a Bayesian based iterative algorithm that discovers the set of active signals conforming the band and simultaneously reconstructs the spectrum. This iterative spectral estimator is shown to perform close to a GenieAided CRLB that includes full knowledge about the sparsity pattern of the channels.
Gonzalo Vazquez-Vilar, Roberto López-Valcar
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where ICASSP
Authors Gonzalo Vazquez-Vilar, Roberto López-Valcarce, Carlos Mosquera, Nuria González Prelcic
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