Archivio Istituzionale della RicercaThis chapter describes a set of spectrum sensing algorithms to be employed for the detection of Ortogonal Frequency Division Multiplexing transmissions in the TV bands (470–790 MHz), like DVB-T signals. Spectrum sensing techniques take a crucial role to support geo-referenced TV White-Spaces (TVWS) databases and to maintain them up-to-date over time. When considering a single-antenna spectrum sensing unit, very effective methods for detecting OFDM signals are based on DVB-T cyclic prefix and pilot pattern feature detection. Starting from these, further improvements can be obtained using multi-antenna techniques. This chapter shows performance analysis of feature-based single-antenna and multi-antenna techniques in order to derive trade-offs and conclusions.
Spectrum sensing algorithms for cognitive TV white-spaces systems / Riviello, DANIEL GAETANO; Benco, S.; Crespi, F.; Ghittino, A.; Garello, Roberto; Perotti, A. - In: Cognitive Communication and Cooperative HetNet Coexistence / Di Benedetto M. G., Bader F.. - STAMPA. - Berlino : Springer International Publishing, 2014. - ISBN 9783319014012. - pp. 71-90 [10.1007/978-3-319-01402-9_4]
Spectrum sensing algorithms for cognitive TV white-spaces systems
RIVIELLO, DANIEL GAETANO;GARELLO, Roberto;
2014
Abstract
This chapter describes a set of spectrum sensing algorithms to be employed for the detection of Ortogonal Frequency Division Multiplexing transmissions in the TV bands (470–790 MHz), like DVB-T signals. Spectrum sensing techniques take a crucial role to support geo-referenced TV White-Spaces (TVWS) databases and to maintain them up-to-date over time. When considering a single-antenna spectrum sensing unit, very effective methods for detecting OFDM signals are based on DVB-T cyclic prefix and pilot pattern feature detection. Starting from these, further improvements can be obtained using multi-antenna techniques. This chapter shows performance analysis of feature-based single-antenna and multi-antenna techniques in order to derive trade-offs and conclusions.
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https://hdl.handle.net/11583/2534894
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