4 research outputs found
Asymptotic equivalence between the unconditional maximum likelihood and the square-law nonlinearity symbol timing estimation
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.Peer Reviewe
Asymptotic equivalence between the unconditional maximum likelihood and the square-law nonlinearity symbol timing estimation
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.Peer Reviewe
Asymptotic equivalence between the unconditional maximum likelihood and the square-law nonlinearity symbol timing estimation
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.Peer Reviewe