Sparse correlation matching-based spectrum sensing for open spectrum communications
Cita com:
hdl:2117/18290
Tipus de documentArticle
Data publicació2012-02
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
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
’
interference, the
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.
ISSN1687-6180
Versió de l'editorhttp://asp.eurasipjournals.com/content/2012/1/31
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
1687-6180-2012-31.pdf | Sparse correlation matching-based spectrum sensing for open spectrum communications | 538,1Kb | Visualitza/Obre |