The Effect of "α" in Exponential and Cosine Hyperbolic Window Functions on the SNR of MST Radar Signals
A.S.R. Reddy, B. Ramesh Reddy, P. Chandrashekar Reddy · 2011
In this paper, the effect of window shape parameter “α” in Exponential and Cosine Hyperbolic Window Functions on the SNR values of MST radar returns has been investigated. Six sets of multibeam observations of the lower atmosphere made by the Indian Mesosphere-Stratosphere-Troposphere (MST) radar are used for the results analysis. Prior to the Fourier transformation, the inphase and quadrature components of the radar echo samples are weighted with the recently proposed new class of adjustable windows based on the Exponential and Cosine Hyperbolic Window Functions. The effects of data weighting with the variation of the window shape parameter “α” of the Exponential and Cosine Hyperbolic Window Functions are presented. It is observed that the increase of “α” increases the SNR values and a good improvement is reported. Optimum values of the shape parameter “α” for both Exponential and Cosine Hyperbolic Window Functions are suggested to analyze the MST radar signals. The results also show that, the improvement of SNR of noisy data due to the effect of side lobe reduction and demands for the design of optimal windows.