Analysis of atmospheric radar echoes using Wavelets and EMD

In this paper, de-noising using Wavelet transforms and Empirical mode decomposition (EMD) was performed on two sets of atmospheric radar data. Wavelets and EMD has been applied to the time series data obtained from the mesosphere-stratosphere-troposphere (MST) region near Gadanki, Tirupati. Wavelet analysis is one of the most important methods for removing noise and extracting information from any data. The de-noising application of the Wavelets has been used in spectrum cleaning of atmospheric radar signals. The Algorithm is developed and tested using Matlab7.9. The results showed that the proposed EMD algorithm is efficient for dealing non-linear and non-stationary signals contaminated with noise. SNR has been evaluated using Wavelets and Empirical mode decomposition for two sets of radar data and has been compared and plotted for validation of the proposed algorithm. EMD is found to be more effective in removing the noise embedded in radar echoes compared to Wavelet analysis.