Signal to Noise Ratio Improvement of Lower Atmospheric Signals Using Wavelets

Abstract: Lower Atmospheric Wind Profiler (LAWP) is used to provide continuous high resolution wind measurements in the lower atmosphere. Signal processing of this atmospheric radar is necessary to estimate the wind profiler moments and signal to noise ratio (SNR). 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 wavelets for LAWP signals. In this paper wavelet denoising is used to improve SNR. Denoising is performed by selecting a DB10 wavelet. SNR for this data is computed for original signal and de-noised signal. Results show that there is 7dB improvement in SNR after denoising using DB10 wavelet for LAWP signals.

Keywords: Wavelet, DB10, Denoising, Signal to Noise Ratio.