Algorithms for the Analysis of MST Radar Signals - A Survey

Volume 5 Issue 3 July - September 2017

Review Paper

Algorithms for the Analysis of MST Radar Signals - A Survey

P. Suresh Babu*, G.Sreenivasulu**

* Research Scholar, Sri Venkateswara University College of Engineering, Sri Venkateswara University, Tirupati, India.

** Professor and Head, Department of Electronics and Communication Engineering, Sri Venkateswara University College of Engineering, Sri Venkateswara University, Tirupati, India.

Babu, S, P., and Sreenivasulu, G. (2017). Algorithms for the Analysis of MST Radar Signals - A Survey. i-manager's Journal on Digital Signal Processing, 5(3), 40-44. https://doi.org/10.26634/jdp.5.3.13933

Abstract

The analysis of the MST Radar Data has become more predominant in the present world. A major research on MST Radar Data was going on in NARL, Gadanki, which provides the data regarding the atmospheric movements. In order to obtain the information on the wind parameters, the signals collected from the radar are analyzed, which mainly involves the estimation of power spectrum. Analysis of the MST Radar Data involves the estimation of the Signal to Noise Ratio (SNR) of the Doppler profiles, Wind Profiles and Parameters, Temperature Profiles, etc. In NARL, the weather data or the Meteor data was collected and the data was converted into raw format. This raw data was used for processing either in time domain or frequency domain. Many techniques have been employed for processing the MST Radar data, which shows better results when compared to the GPS Data (Data Processed in NARL). This paper mainly gives survey of papers in which various methods are used for the analysis of the MST Radar data.