De-noised estimation of the weather Doppler spectrum by the wavelet method

  • Authors:

  • M. Lagha;M. Tikhemirine;S. Bergheul;T. Rezoug;M. Bettayeb

  • Affiliations:

  • Aeronautical Science Laboratory, Aeronautics Department, Saad Dahlab University of Blida, B.P. 270 road of Soumaa, Blida, Algeria;Aeronautical Science Laboratory, Aeronautics Department, Saad Dahlab University of Blida, B.P. 270 road of Soumaa, Blida, Algeria;Aeronautical Science Laboratory, Aeronautics Department, Saad Dahlab University of Blida, B.P. 270 road of Soumaa, Blida, Algeria;Aeronautical Science Laboratory, Aeronautics Department, Saad Dahlab University of Blida, B.P. 270 road of Soumaa, Blida, Algeria;Electrical and Computer Engineering Department, College of Engineering, PO Box 27272, University City, Sharjah, United Arab Emirates

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2013

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Abstract

In the aeronautics generally and in the aviation field particularly, the radar detection of hazardous and severe weather phenomenons as winds or microburst is very important. This detection allows the avoidance of these severe phenomenons and consequently will enhance the safety of the aircrafts flights. In this work, we have de-noised the weather radar signals by the wavelet method in order to estimate the mean velocity of winds. The results showed that the application of this method is promising compared with the classical estimators (pulse pair, Fourier, AR and ARMA).