A deterministic simulation modeling & analysis for the improvement of signal-to-noise ratio (SNR) based on ambient noise sources in underwater acoustic communication channel

Abstract

This paper encompasses the sensitivity of SNR due to ambient noise sources individually using gradient method. The Gradient method has its own significance in the mathematical modeling and the purpose of using this method is of two fold; First, it gives the sensitivity of selected dependent variable with respect to the small and systematic changes in the independent variables separately or compositely in an equation. Second, it helps to determine a way to search for the optimal region or optimal values of the independent variables. Hence, this paper is intended to highlight the optimal region in order to determine a direction for the improvement of SNR in an underwater acoustic communication channel. In this paper, the gradient vectors of SNR have been modeled in MATLAB keeping in consideration the parameters as turbulence, shipping activities, wind and heat involved in underwater acoustic communication channel. The input model of SNR has been kept devoid of probability theory and uses some statistical approximations of underwater acoustic noise. Due to the absence of randomness in the variables of input model of SNR, the model output offers no uncertainties; hence giving a deterministic simulation model of the gradient vectors.