Doppler spectrum estimation by Ramanujan-Fourier Transform (RFT)

Authors:
Mohand Lagha;Messaoud Bensebti
Affiliations:
Aeronautics Department, SAAD DAHLAB University of Blida, B.P. 270 road of Soumaa, Blida, Algeria;Electronics Department, SAAD DAHLAB University of Blida, B.P. 270 road of Soumaa, Blida, Algeria
Venue:
Digital Signal Processing
Year:
2009

Citing 1
Cited 1

Performances comparison of pulse-pair and 2-step prediction algorithms for the doppler spectrum estimation

Multidimensional Systems and Signal Processing

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

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Abstract

This work deals with the spectrum parameters estimation of a weather radar signal, namely velocity, variance and spectrum width. A new tool - based on the Ramanujan sums, c"q(n), which come from the arithmetic functions of the number theory - has been introduced in signal processing. As compared to pulse pair and Fourier algorithms, new results have been obtained by the use of the Ramanujan-Fourier Transform (RFT) for the Doppler spectrum estimation of a real weather data provided by terminal pulse Doppler radar (WSR-88D).