Estimation of Moments For Low And High Snr Atmospheric Radar Data

Vol.1 No.3

Year: 2012

Issue: May-Jul

Title: Estimation of Moments For Low And High Snr Atmospheric Radar Data   

Author Name: PADMAJA NIMMAGADDA, G. Madhavi Latha , S.Varadarajan   

Synopsis: 

Atmospheric Signal processing  has been one field of signal  processing where    there is a  lot of scope for development of new and efficient tools for Cleaning of the spectrum, detection and estimation of the desired parameters. Atmospheric signal processing deals with the processing of the signals received from the atmosphere. The signals,  which are processed in the present work, have been  obtained from the mesosphere - stratosphere-  troposphere (MST) Radar. The MST radar   facilities are situated at National Atmospheric research Laboratory, Gadanki, and  Tirupati, India. The signal processing done in the present work concentrates  mainly on  the data collected from NARL located at Gadanki. This work deals with signal processing     techniques used for the analysis of MST Radar  signal and to extract better information about moments for wind   profilling. The proposed algorithm estimates radar moments and signal to noise ratio. The performance of this method is tested practically with atmospheric wind profiler data ADP (Atmospheric Data Processor). Signal processing of recoded experimental data  is performed using Matlab. Moments were estimated using five peak method and results are plotted.