← Back to VOLUME 3, ISSUE 1, JANUARY 2014
This work is licensed under a Creative Commons Attribution 4.0 International License.
SNR Improvement of MST radar signals by 3COSH Window over Kaiser Window
D.RAVI KRISHNA REDDY, DR. B.ANURADHA Research Student, Dept.of ECE, S.V.U College of Engineering Tirupati, Andhra Pradesh, India Professor, Dept.of ECE, S.V.U College of Engineering Tirupati, Andhra Pradesh, India
Downloads: Download PDF
👁 46 views📥 0 downloads
Abstract: In this paper window shape parameter “α” in Kaiser and 3COSH Window functions on the signal to noise ratio (SNR) values of MST radar is compared. The six sets of multibeam observations made by the Indian Mesosphere-Stratosphere-Troposphere (MST) radar in lower atmosphere are analyzed for results. The echo samples of the in-phase and quadrature components of radar in Fourier transformation are weighted with new version of adjustable windows. The effects of data weighting with the variation of the window shape parameter “α” of the 3COSH and Kaiser Window functions are presented. It is observed that this report is with a good improvement, with an increase of “α” increases the signal to noise ratio values. For 3COSH and Kaiser Window functions are proposed to analyse the MST radar return signals to obtain optimum values of the shape parameter “α”. Due to the effect of side lobe reduction, the results shows the improvement of signal to noise ratio of noisy data and demands for the design of optimal window functions.
Keywords: Kaiser Window, 3COSH Window, SNR, DFT, Spectral Analysis.
Keywords: Kaiser Window, 3COSH Window, SNR, DFT, Spectral Analysis.
How to Cite:
[1] D.RAVI KRISHNA REDDY, DR. B.ANURADHA Research Student, Dept.of ECE, S.V.U College of Engineering Tirupati, Andhra Pradesh, India Professor, Dept.of ECE, S.V.U College of Engineering Tirupati, Andhra Pradesh, India, “SNR Improvement of MST radar signals by 3COSH Window over Kaiser Window,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
