Enhanced signal detection using Hilbert transform for atmospheric radar signals

Abstract Enhancing the signal to noise ratio (SNR) is the key objective of many signal processing techniques, and hence there is no exception for atmospheric radar signals too. The narrowband signals of the radar i.e. the backscattered signals from various layers of the atmosphere become frail and freak in the backdrop of atmospheric conditions that prevail during the data acquisition with the progress of the height away from the radar (reference) position. Also, the detectability of the genuine Doppler shift from the received signal becomes difficult from the higher altitudes (beyond 12 Km), as the signal is dominated by noise. DC bias elimination is the key factor using the Hilbert transform is presented herewith. Keywords:DC removal, Hilbert transformation, spectral density, signal model.