THE INDIAN MST RADAR SIGNAL (WINDS, WAVES) PROCESSING WITH AN ATMOSPHERIC DATA PROCESSOR (ADP) METHOD

Abstract

When processing atmospheric radar data to estimate wind parameters, power spectrum is a key factor. The need for new data-dependent approaches is driven by the existing algorithms' poor resolution and high side lobe level issues. For the purpose of estimating the power spectral density, an atmospheric data processor (ADP) that is non-parametric and hyper parameter-free is presented. By minimising the weighted least square fitting criterion, this method can be used with a single snapshot. For the simulated data, the ADP method offers precise amplitude and frequency estimation. Indian MST (mesosphere, stratosphere, and troposphere) radar is where the data for the study mentioned above were gathered. ADP is used to calculate the power spectrum and Doppler frequency. This study also uses Global Positioning System Sonde data to calculate and validate zonal (U), meridional (V), and wind speed (W). It is shown and evaluated how well the spectral estimation performance of ADP works.