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AGU: Radio Science

 

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  • Hydrology: Stochastic processes
  • Radio Science: Radar atmospheric physics
  • Radio Science: Remote sensing
  • Radio Science: Signal processing
  • Radio Science: Instruments and techniques
Abstract
Cited By (7)
 

Abstract

Cross-correlation ratio method to estimate cross-beam wind and comparison with a full correlation analysis

Guifu Zhang

National Center for Atmospheric Research, Boulder, Colorado, USA

Richard J. Doviak

National Severe Storms Laboratory, Norman, Oklahoma, USA

J. Vivekanandan

National Center for Atmospheric Research, Boulder, Colorado, USA

William O. J. Brown

National Center for Atmospheric Research, Boulder, Colorado, USA

Stephen A. Cohn

National Center for Atmospheric Research, Boulder, Colorado, USA

Cross-beam wind is usually estimated using a full correlation analysis (FCA) method applied to signals from spaced antennas. In this paper we present a cross-correlation ratio (CCR) method for wind measurements. The CCR method is illustrated using theory, and data obtained with the National Center for Atmospheric Research's multiple antenna profiling radar. The standard errors of estimated cross-beam wind using CCR and a FCA are studied based on a rigorous analysis of the variance of the cross-correlation estimates. The results of the analysis are compared with previous works. It is shown that the current method is easy to implement and has smaller error for receiving antenna spacing small compared to the transmitting antenna dimensions.

Published 27 March 2003.

Citation: Zhang, G., R. J. Doviak, J. Vivekanandan, W. O. J. Brown, and S. A. Cohn (2003), Cross-correlation ratio method to estimate cross-beam wind and comparison with a full correlation analysis, Radio Sci., 38(3), 8052, doi:10.1029/2002RS002682.

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