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Robust frame synchronization for the DVB‐S2 system with large frequency offsets
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- Authors
- Pan Soo Kim, Raffaella Pedone, Marco Villanti, Alessandro Vanelli-Coralli, Giovanni Emanuele Corazza, Dae-Ig Chang, Deock-Gil Oh
- Issue Date
- 2009-01
- Citation
- International Journal of Satellite Communications and Networking, v.27, no.1, pp.35-52
- ISSN
- 1542-0973
- Publisher
- John Wiley & Sons
- Language
- English
- Type
- Journal Article
- Abstract
- This paper tackles the problem of frame synchronization design for the Digital Video Broadcasting standard via Satellite (DVB-S2) system. In particular, the design of a novel frame detection scheme exhibiting robustness against large frequency errors is proposed. Post-detection integration (PDI) is exploited to provide coarse frame alignment with limited complexity with respect to classical approximate maximum likelihood (ML) solutions. The novel scheme, denoted as differential generalized post-detection integration, derives from a pragmatic adaptation of the well-known generalized PDI scheme (IEEE Trans. Commun. 2007; 55(11):2159-2171), which eliminates its inherent source of weakness in the presence of large frequency offsets, i.e. its non-differential component given by non-coherent PDI. The proposed approach manages to reduce the remarkable performance gap with respect to approximate ML techniques available in the literature (IEEE Trans. Commun. 2002; 50(7): 1062-1065), providing the designer with an interesting performance/complexity trade-off. Performance is numerically evaluated in terms of receiver operating characteristics and mean acquisition time (MAT), handling the acquisition procedure according to a single-dwell approach. Both threshold crossing and MAX criterion are contrasted to identify the best design solution. Copyright © 2008 John Wiley & Sons, Ltd.
- KSP Keywords
- DVB-S2, Design solution, Detection scheme, Digital video broadcasting, Frequency error, Mean Acquisition Time, Non-coherent, Receiver operating characteristic, Trade-off, approximate maximum likelihood, frame detection