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.
Di Benedetto M. G. Bader F., RIVIELLO, D.G., Benco S., Crespi F., Ghittino A., GARELLO, R., et al. (2014). Spectrum sensing algorithms for cognitive TV white-spaces systems. DEU : Springer International Publishing [10.1007/978-3-319-01402-9_4].
Spectrum sensing algorithms for cognitive TV white-spaces systems
RIVIELLO, DANIEL GAETANO
Primo
;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
