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Estimation Of Moments For Low And High SNR Atmospheric Radar Data

0*, G. Madhavi Latha**, S. Varadarajan***

* Asst. Professor, Dept of ECE, S.V.E.C Tirupati.

** Associate Professor, Dept of ECE, CREC, Tirupati.

*** Professor, Dept of ECE, S.V.U college of Engg, Tirupati.

Periodicity:May - July'2012
DOI : https://doi.org/10.26634/jcs.1.3.1895

Abstract

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.

Keywords

How to Cite this Article?

Madhavilatha, G., Padmaja, N., and Varadarajan, S. (2012). Estimation Of Moments For Low And High SNR Atmospheric Radar Data. i-manager’s Journal on Communication Engineering and Systems, 1(3), 31-38. https://doi.org/10.26634/jcs.1.3.1895

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