INVESTIGADORES
GREGORIO Fernando Hugo
congresos y reuniones científicas
Título:
CYCLOSTATIONARY AUTOCORRELATION BASED CFO ESTIMATORS
Autor/es:
GUSTAVO GONZALEZ; FERNANDO GREGORIO, JUAN COUSSEAU ,STEFAN WERNER, RISTO WICHMAN
Lugar:
Barcelona
Reunión:
Conferencia; 2011 European Signal Processing Conference (EUSIPCO 2011); 2011
Institución organizadora:
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) and the Universitat Politècnica de Catalunya (UPC).
Resumen:
We derive three novel data-aided CFO estimators basedon a new auto correlation function which is defined usingcyclostationary properties of the repetitive preamble.The first estimator is a generalization of a classicestimator, and the other two take advantage of the structureof the new autocorrelation function to improve theestimation for low CFO. In addition, the performance ofthe proposed schemes is studied using simulations andcompared with classical implementations. Comparingto the state-of-the-art CFO estimators, the proposed algorithmsimprove the performance, in terms of mean squarederror (MSE), by 6 % at an SNR of 2 dB and by100 % at an SNR of -5dB.
