Spectrum sensing in multichannel communication systems using randomized sampling schemes

This paper studies a spectrum estimation method that utilises Digital Alias-free Signal Processing (DASP) to continuously sense the spectrum in a multichannel communication environment using relatively low sampling rates compared to the classical approaches. Various estimators that use similar concepts are considered. The effect of noise on the accuracy of the chosen detector is analysed. Most importantly, general guidelines on choosing the average sampling rate within a given scenario are provided in order to guarantee sensing reliability. The extra requirement on the needed sampling rate imposed by the presence of noise is given. The analytical results are illustrated by numerical examples.