Optimizing classification thresholds of status of transionospheric communication channel distributed according to rayleigh distibution law for decreased quadrocopter's positioning errors

Abstract

Unmanned aerial vehicle (UAV), today, plays prominent role in many parts of human activity. One of serious problems exploitation UAV is accuracy of positioning. Satellite clocks, satellite orbits, ionosphere and troposphere, multipath, etc-all of this are sources of signal's fluctuation. But largest fluctuation of signal is created by ionosphera. One of distribution laws (Nakagami, normal distribution law, Rayleigh and Rice-most common situations) characterize Ionosphere's fluctuations. For solve this problem supposed to using of adapting control system, based on Flight Control Center. At working this system there exist probability of making type I and type II errors during salvation of identification problems. This work proposes an approach to implementing the threshold optimization for classifying the states of satellite communication systems, when disorting of signals described by Rayleigh distribution law