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Minimum entropy approach for carrier frequency recovery

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2 Author(s)
M. Pedzisz ; Lab. Extraction et Exploitation de l'Inf. en Environnements Incertains, ENSIETA, Brest, France ; A. Coatanhay

This paper introduces a new carrier frequency recovery approach. It can be applied before modulation classification and/or demodulation of the M-ary PSK signals. It relies on the entropy of the instantaneous phase probability density function, and uses the fact that it reaches minimum when the receiver is fine-tuned to the unknown carrier frequency. This estimator is applicable to algorithms requiring high accuracy without any a priori knowledge concerning modulation scheme, signal contents (bit-stream), or its timing parameters. Simulation results have proved the robustness of the algorithm: for low carrier to noise ratios (CNR), corresponding variances are proportional and close to Cramer-Rao lower bounds (CRLB). For CNR greater than 20 dB, they are constant and limited by the resolution of the algorithm.

Published in:

IEEE Transactions on Wireless Communications  (Volume:5 ,  Issue: 4 )