Nonlinear Methods for Analyzing the Statistical Dynamics of Tracking Systems in Radio Receivers

Abstract

The paper discusses an assessment of the critical ratios (required front-to-back ratios) of signal to noise, which enable the functioning of radio receiving devices (receivers) in environments where there is a deficit of interference immunity with a probability of at least 0.9. The assessment has been performed using Markov's chain (processes) on the basis nonlinear methods for analyzing the statistical dynamics of tracking systems and the theory of optimal filtering of data processes. Most areas of modern science, including biological and medical research, have embraced the usage of remote sensing systems which are based on data gathered by numerous specialized satellites. It is thus necessary not only to understand how these systems work, but suggest methods and techniques for their perfection. This paper is dedicated to advances in this multidisciplinary field, which can later be used to develop remote sensing systems for the purpose of Earth and other sciences.