Denoising of MST Radar Signal Using Multi-Band Wavelet Transform with Improved Thresholding

This paper proposes the notion of developing new algorithm for denoising of atmospheric radar signal based on Multi-band wavelet transform. The development of this method is a tool for cleaning the Doppler spectrum, detection and estimation of wind velocity parameters like zonal (U), meridional (V) and wind speed (W). The effectiveness of the proposed algorithm (Multi-Band Discrete Wavelet Transform) is demonstrated via denoising comparisons on MST radar data with existing method DWT (Discrete Wavelet Transform). This algorithm is self-consistent in detecting wind speeds at low signal-to-noise ratio (SNR) conditions i.e., at higher altitudes. The experimental results of the radar data have been validated with the global positioning system (GPS) radiosonde data.