Optimizing Classification Thresholds For The State Of Transionospheric Communication Channels Described By The Nakagami Distribution To Ensure Uas Positioning Accuracy

Authors

  • Gennadiy I. Linets , Sergey V. Melnikov, Alexander M. Isaev

Abstract

Modern satellite navigation systems have become rather advanced. US-developed GPS and
Russia-developed GLONASS are the most widely used systems today. However, artificial ionospheric
formations negatively affect satellite navigation systems and cause errors in the accuracy of unmanned
aircraft positioning. Disturbances of communication channels are described by the laws of random variables
distribution. Being based on predictive models, the existing methods of counteracting these disturbances
cannot adequately meet the emerging practical needs. A promising method for solving this problem is
automated monitoring of the state of satellite communication channels. The number of errors related to
omission of abnormal events should be minimized.For this, it is necessary to determine the classification
threshold. The solution to this problem is a system of equations, which is reduced to a convenient form. This
article presents the statement and the solution of the problem of optimizing the classificationthresholds for
the state of transionospheric communication channels during signal fading, described by the Nakagami
distribution.

Published

2020-04-30

Issue

Section

Articles