Advanced signal processing techniques for atmospheric applications using EMD

Abstract

The main objective of the Lower Atmospheric Wind Profiler (LAWP) is used to provide continuous high resolution wind measurements in all weather conditions. Signal processing of this atmospheric radar is necessary to measure the height profile of wind vector by detecting the Doppler shift of echoes and signal to noise ratio (SNR). The L-band wind profiler is used for conducting research in the lower atmosphere. These radars achieve better range resolution with maximum average power (height coverage). The signals, which are processed in the present work has been obtained from the LAWP at National Atmospheric Research Laboratory (NARL), Gadanki, India. SNR computation is an important parameter in signal processing. This paper discusses improvement of SNR using Empirical Mode Decomposition (EMD) for LAWP signals. SNR for this data is computed de-noised signals and EMD de-noised signals are compared with the Wavelets de-noised signals. Results shows that there is an improvement in SNR after denoising using EMD technique for LAWP signals.