Abstract—In this paper, the effect of Planck-Bessel, 3Cosh and Kaiser Window parameters CG, ICG, ENBW and SL on the SNR values of the MST radar is computed. The six parts of multibeam observations of the lower atmosphere made by the MST radar are utilized for the analysis of results. Prior to the Fourier transformation, the in-phase and quadrature components of radar echo samples are weighted with Planck-Bessel, 3Cosh and Kaiser Window functions. It is noted that the increase of adjustable shape parameter ‘’, controlling parameter ‘’ and cost function ‘p’ of Planck-Bessel, 3Cosh and Kaiser window increases ENBW and SL but decreases the CG and ICG. It helps to improve the SNR of MST radar return samples. Thus it is reported that the ‘= 6’, ‘= 0.1’ and ‘p = 0.7’ can be suggested for good results of SNR improvement in MST radar return signals. The optimum window parameters in turn yields optimum Planck- Bessel window function parameters are ‘CG = 0.4920, ICG = 0.3653, ENBW = 1.5091, SL = 0.8502’, 3Cosh window function parameters are ‘CG = 0.655, ICG = 0.5111, ENBW = 1.1914, SL = 0.7712’ and Kaiser Window function parameters are ‘CG = 0.4991, ICG = 0.3660, ENBW = 1.4695, SL = 0.8410’. This relates to optimum main lobe width and side lobe attenuation to increase the signal to noise ratio of MST radar noisy data.

Index Terms—Keywords: CG, ICG, ENBW, SL, SNR, DFT, Spectral analysis

Cite: D Ravi Krishna Reddy and B Anuradha, "THE EFFECT OF PLANCK-BESSEL/3COSH/KAISR WINDOW FUNCTION PARAMETERS CG-ICGENBW- SL ON SNR IMPROVEMENT OF MST RADAR SIGNALS," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 3, No. 4, pp. 67-76, October 2014.