To deal with the current spectrum scarcity problem and exploiting the fact that exclusive access through tightly
regulated licensing leads to idle spectrum, cognitive radio has been proposed as a way to reuse this underutilized
spectrum in an opportunistic manner, i.e., allowing the use of temporarily unused licensed spectrum to secondary
users who have no spectrum licenses. To protect the licensed users from the cognitive users
opportunistic user requires knowledge of the original license holder activity. In this article, a feature-based
approach for spectrum sensing based on periodic non-uniform sampling is addressed. In particular, we face the
compressed-sampling version of detecting predetermined spectral shapes in sparse wideband regimes by means
of a correlation-matching procedure.
CitacióLagunas, E.; Najar, M. Sparse correlation matching-based spectrum sensing for open spectrum communications. "EURASIP Journal on Advances in Signal Processing", Febrer 2012, vol. 2012.