350 rub
Journal Radioengineering №7 for 2019 г.
Article in number:
Algorithm for filtering the stochastic state vector of the small unmanned aerial vehicle navigation system
Type of article: scientific article
DOI: 10.18127/j00338486-201907(9)-12
UDC: 531.383
Authors:

V.A. Pogorelov – Dr.Sc.(Eng.), Leading Research Scientist, 

FSUE «RNIIRS» FRPC

A.O. Semiletkin – Leading Software Engineer, 

FSUE «RNIIRS» FRPC

A.V. Tsitsilin – Engineer, 

FSUE «RNIIRS» FRPC

K.T. Lomtatidze – Engineer, 

FSUE «RNIIRS» FRPC

Abstract:

The solution of the problem of estimating the motion parameters of a small unmanned aerial vehicle (SUAV) in the autonomous operation mode is presented. A stochastic model of an SUAV navigation and telecommunications system (NTS) in the form of an objectobserver is built. The main features of the constructed model are, firstly, the absence of any simplifying assumptions about the motion of the SUAV and distribution of the measurement noise of system’s sensitive elements, secondly, the use of the basic equation of inertial navigation for the synthesis of the observation equation and third, the presence of noise correlation between object and observer. Based on the Kalman filter, a filtering algorithm for correlated noise measurements in the NTS has been developed. The results of simulation modeling are presented. They testify to the possibility of using the approach developed in the article in modern and prospective NTS, which functioning in the absence of global satellite navigation systems signals.

Pages: 109-120
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Date of receipt: 12 марта 2019 г.