Rain attenuation studies especially in tropical countries assume significance due to sparse measurements and variability in rain rates and drop size distributions. Conventional techniques are not very significant in dealing with the attenuation due to melting layer and vertical structure of rainfall. The MST radar located at Gadanki, India, is an excellent state of the art system for atmospheric studies. Earlier studies have demonstrated that VHF radars like MST can also be used for precipitation studies. The VHF Radar operating at 53 MHz with a peak power of 2.5 MW is able to provide details of melting layer and drop fall velocities. However, identification of precipitation echo from the clear echo is quite challenging, as 53 MHz is not attenuated by rain. Nevertheless studies have clearly demonstrated in identifying the two echoes. Present Paper deals with new algorithms based on the wavelet analysis techniques (time series data (I & Q)) to deal with the problem. The technique has been used for SNR improvement, and effective tracing of the Doppler profile even in low SNR regions. This is a definite advantage over the conventional algorithms based on single peak detection which usually fail in extracting the Doppler profile in the low SNR regions. Also, the conventional algorithms fail to trace the clear air echo during convection. The proposed algorithm has been tested on both the clear air and convection data sets. The results thus obtained have been compared with existing algorithms. Consistency of Doppler profile and better height coverage has been reported.
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