Spectrum sensing for cognitive radio architectures based on sub-Nyquist sampling schemes

This paper investigates a signal processing architecture for cognitive radio based on a sub-Nyquist sampling of the wideband signal. Then spectrum scanning is performed by applying an adaptive digital filter to scan the bands which might be used for cognitive radio. In particular, the paper studies detectors which are tailored for the applied signal processing scheme and which takes into account the noise correlation, introduced by the digital scanning filter.