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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Riviello, D., Benco, S., Crespi, F.L., Ghittino, A., Garello, R., Perotti, A. (2014). Spectrum Sensing Algorithms for Cognitive TV White-Spaces Systems. In: Di Benedetto, MG., Bader, F. (eds) Cognitive Communication and Cooperative HetNet Coexistence. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-01402-9_4
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DOI: https://doi.org/10.1007/978-3-319-01402-9_4
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