Iterative Recovery Algorithms for Compressed Sensing of Wideband Block Sparse Spectrums
In a wireless communication environment, many of the Primary Users (PUs) do not use their licensed frequency bands at all times. The surveys show that the maximum frequency utilization of the allocated spectrum is less than 10%. To increase the frequency utilization in such environments, Secondary Users (SUs) equipped with Cognitive Radios (CRs) can be deployed to use the available spectrum (spectrum holes) without interfering with the PUs. Spectrum sensing, as the task of finding the spectrum holes, is thus one of the important functions performed by CRs. As an integral part of spectrum sensing, an analog to digital converter is required to sample the signal at or above the Nyquist rate.