%0 Conference Paper %B Int. Conf. Acoust., Speech, Signal Process. (ICASSP) %D 2013 %T Compressive wideband spectrum sensing with spectral prior information %A Daniel Romero %A R. López-Valcarce %A Geert Leus %K cognitive radio %K dynacs %K spectrum sensing %X
Wideband spectrum sensing provides a means to determine
the occupancy of channels spanning a broad range of frequencies.
Practical limitations impose that the acquisition should
be accomplished at a low rate, much below the Nyquist lower
bound. Dramatic rate reductions can be obtained by the observation
that only a few parameters need to be estimated in
typical spectrum sensing applications. This paper discusses
the joint estimation of the power of a number of channels,
whose power spectral density (PSD) is known up to a scale
factor, using compressive measurements. First, relying on
a Gaussian assumption, an efficient approximate maximum
likelihood (ML) technique is presented. Next, a least-squares
estimator is applied for the general non-Gaussian case.
%B Int. Conf. Acoust., Speech, Signal Process. (ICASSP) %G eng %R 10.1109/ICASSP.2013.6638505