Non-uniform Spectrum Sensing using Multicoset Sampling.

Spectrum sensing is the core and key task of the Cognitive Radio. In this paper, we propose a spectrum sensing technique based on the estimates of the spectrum of a multiband signal obtained from its non-uniform multicoset sampler operating at the sub-Nyquist rate. We show that our proposed spectrum sensing method provides accurate results using fewer data samples. We discuss in detail the effect of false detections based on the signal reconstructed from non-uniform multicoset samples.