DocumentCode :
767106
Title :
Asymptotic equivalence between the unconditional maximum likelihood and the square-law nonlinearity symbol timing estimation
Author :
López-Salcedo, José A. ; Vázquez, Gregori
Author_Institution :
Dept. of Signal Theor. & Commun., Tech. Univ. of Catalonia, Barcelona, Spain
Volume :
54
Issue :
1
fYear :
2006
Firstpage :
244
Lastpage :
257
Abstract :
This paper provides a systematic approach to the problem of nondata aided symbol-timing estimation for linear modulations. The study is performed under the unconditional maximum likelihood framework where the carrier-frequency error is included as a nuisance parameter in the mathematical derivation. The second-order moments of the received signal are found to be the sufficient statistics for the problem at hand and they allow the provision of a robust performance in the presence of a carrier-frequency error uncertainty. We particularly focus on the exploitation of the cyclostationary property of linear modulations. This enables us to derive simple and closed-form symbol-timing estimators which are found to be based on the well-known square timing recovery method by Oerder and Meyr. Finally, we generalize the OM method to the case of linear modulations with offset formats. In this case, the square-law nonlinearity is found to provide not only the symbol-timing but also the carrier-phase error.
Keywords :
maximum likelihood estimation; modulation; asymptotic equivalence; closed-form symbol-timing estimation; cyclostationary property; linear modulation; nondata aided symbol-timing estimation; second-order moments; square timing recovery method; square-law nonlinearity symbol timing estimation; unconditional maximum likelihood; Intersymbol interference; Maximum likelihood detection; Maximum likelihood estimation; Phase locked loops; Robustness; Signal processing algorithms; Statistics; Timing; Uncertainty; Unified modeling language; Cyclostationarity; nondata aided; phase estimation; second-order statistics; synchronization; timing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2005.859245
Filename :
1561591
Link To Document :
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