A noval approach for Lower Atmospheric signals using Peak Detection method

摘要

The main objective of the Lower Atmospheric Wind Profiler (LAWP) is used to identify the atmospheric echoes and spectral moments estimation is most important for the study of turbulence and dynamics of the atmosphere. Signal processing of atmospheric radar signals is necessary to measure the height profile of wind vector by detecting the Doppler shift of echoes and Signal to Noise Ratio (SNR). The signals, which are processed in the present work has been obtained from the LAWP radar at National Atmospheric Research Laboratory (NARL), Gadanki, India. SNR and Doppler shift computation are important parameters in radar signal processing. Signal detection is carried out by identifying the largest peak in the Doppler power spectrum. This paper discusses improvement of Doppler shift using Peak Detection Algorithm (PDA) for LAWP signals. The threshold can detect the fake peaks that are adjacent to the real one. To get the true position of the object, fake peaks should be removed and this can be possible by using Peak Detection Algorithm. Effective Doppler shift for LAWP data is obtained by using Peak Detection Algorithm and compared with the Doppler obtained for LAWP data using Wavelet. Results show that there is an effective Doppler shift after using Peak Detection Algorithm for LAWP signals.