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Semiempirical Model for the Reliability of a Matched Filter Frequency Estimator for Doppler Lidar

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  • 1 Météo-France, Centre National de Recherches Meteorologiques, Toulouse, France
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Abstract

The author proposes a heuristic semiempirical model for predicting the reliability of a matched-filter frequency estimator applied to Doppler lidar signals. The model is tuned by a single coefficient β empirically related to the ratio of the number of signal samples per estimate over the number of speckles. It can deal with any signal characteristics (spectrum width, number of samples, etc.) as well as any factor of accumulation.

Corresponding author address: Dr. Alain Dabas, Météo-France, CNRM/GMEI/LISA, 42, av. G. G. Coriolis, F-31057 Toulouse, Cedex, France.

Email: alain.dabas@meteo.fr

Abstract

The author proposes a heuristic semiempirical model for predicting the reliability of a matched-filter frequency estimator applied to Doppler lidar signals. The model is tuned by a single coefficient β empirically related to the ratio of the number of signal samples per estimate over the number of speckles. It can deal with any signal characteristics (spectrum width, number of samples, etc.) as well as any factor of accumulation.

Corresponding author address: Dr. Alain Dabas, Météo-France, CNRM/GMEI/LISA, 42, av. G. G. Coriolis, F-31057 Toulouse, Cedex, France.

Email: alain.dabas@meteo.fr

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