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

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).

► This paper reviews pulse Doppler weather radar in the context of the wind detection and estimation.
► It discusses the Doppler spectrum estimation and spectral moment estimation of the received signals of the weather radar.
► We enhance the weather radar Doppler spectrum estimation by the use of the wavelet.
► We include some commentaries about the obtained results.