| Title | Compressive wideband spectrum sensing with spectral prior information |
| Publication Type | Conference Paper |
| Year of Publication | 2013 |
| Authors | Romero, D, López-Valcarce, R, Leus, G |
| Conference Name | Int. Conf. Acoust., Speech, Signal Process. (ICASSP) |
| Keywords | cognitive radio, dynacs, spectrum sensing |
| Abstract | Wideband spectrum sensing provides a means to determinethe occupancy of channels spanning a broad range of frequencies.Practical limitations impose that the acquisition shouldbe accomplished at a low rate, much below the Nyquist lowerbound. Dramatic rate reductions can be obtained by the observationthat only a few parameters need to be estimated intypical spectrum sensing applications. This paper discussesthe joint estimation of the power of a number of channels,whose power spectral density (PSD) is known up to a scalefactor, using compressive measurements. First, relying ona Gaussian assumption, an efficient approximate maximumlikelihood (ML) technique is presented. Next, a least-squaresestimator is applied for the general non-Gaussian case. |
| DOI | 10.1109/ICASSP.2013.6638505 |
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