Spectrum Sensing for cognitive radio using multicoset sampling

Abstract

Spectrum sensing is the very task upon which theentire operation of Cognitive Radio rests. In this paper, we propose a spectrum sensing technique based on the estimates of the spectrum of a multiband signal obtained from its non-uniformcompressed multicoset samples. We show that our proposed spectrum sensing method provides accurate results using less datasamples. We discuss in detail the effect of false detections on thequality of the reconstructed signal obtained from non-uniformmulticoset samples.