Volume 14 Issue 2 November - January
2019
Research Paper
G. Chandraiah *, T. Sreenivasulu
Reddy**
* Research Scholar, Department of
Electronics and Communications Engineering, S.V.U. College of Engineering, S.V.
University, Tirupati, Andhra Pradesh, India.
** Professor, Department of
Electronics and Communications Engineering, S.V.U. College of Engineering, S.V.
University, Tirupati, Andhra Pradesh, India.
Chandraiah, G., & Reddy, T. S.
(2019). Spectral Analysis of MST Radar Data via a Sparse Iterative Parameter
Estimation Approach. i-manager’s Journal on Future Engineering and
Technology , 14 (2), 29-36. https://doi.org/10.26634/jfet.14.2.15172
Abstract
The Indian MST radar is
sited at National Atmospheric Research Laboratory (NARL), Gadanki, Andhra
Pradesh. The MST radar is used to study and characterize the dynamic changes of
atmosphere in the regions of Mesosphere, Stratosphere, and Troposphere (MST). MST
radar was developed with an active phased antenna array consisting of 1024
Yagi-Uda antenna elements and operated by a frequency of 53 MHz. In this
article, a sparse iterative parameter estimation approach for spectral
estimation for the radar data has been introduced. Separable models occur
normally in spectral analysis, like radar signal processing and astronomy
applications. The proposed algorithm for the simulated complex signal which may
contain more than one frequency component in presence of noise has been tested.
For simulated signal, the algorithm has proven to estimate the power spectrum
at low SNR conditions also. Finaly, the proposed algorithm (PALG) has been
applied to MST radar data collected on 9 Feb, 2015 to compute Doppler spectrum.
After computing Doppler spectrum and Doppler velocities, the wind parameters
like Zonal U, Meridional V, and Wind velocity can be calculated from the
Doppler velocities. The obtained wind velocity components of the MST radar data
is validated through the Global Positioning System (GPS) balloon data.
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