A DASP approach to wideband multichannel spectrum sensing

This paper introduces a spectrum sensing approach that deploys nonuniform sampling and Digital Alias-free Signal Processing (DASP) to reliably sense the spectrum using sampling rates well below the ones required for uniform-sampling-based-DSP. The adopted method is based on spectral analysis of the incoming signal from a finite set of its nonuniformly distributed samples that are contaminated with noise. Reliability guidelines are provided to ensure the credibility of the sensing technique where the sampling rates can be arbitrary low. The presented analytical results are illustrated by a numerical example.