Call of Papers for Current Volume **************** OnLine Submission of Paper

Volume & Issue no: Volume 8, Issue 2, February 2019

_____________________________________________________________________________

Title:
Enhanced signal detection using Hilbert transform for atmospheric radar signals
Author Name:
S. Leela Lakshmi, Rajani Kanth. V
Abstract:
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.
Cite this article:
S. Leela Lakshmi, Rajani Kanth. V , " Enhanced signal detection using Hilbert transform for atmospheric radar signals" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 8, Issue 2, February 2019 , pp. 063-066 , ISSN 2319 - 4847.
Full Text [PDF]                           Back to Current Issue