The beginning of the mass use of small unmanned aerial vehicles for various purposes gave
rise to the problem of their safe and controlled movement in space. The article shows the feasibility of
using distributed systems in order to improve the accuracy of measurements of the trajectory coordinates
of air objects. The list of functions that should be carried out by distributed systems for detecting airborne
objects includes controlling the operating modes of each source of location data for scanning an airspace
area, obtaining information about moving objects, calculating coordinates and direction of movement
(components of velocity vectors) from the processed data, as well as predicting the position of airspace.
an object for making a decision on issuing information to associated systems. Variants of layouts of
autonomous observation points, as well as their advantages and disadvantages are proposed. The process
of modeling a distributed system consisting of two mobile radar stations is described, which is applicable
for developing methods of detecting and estimating coordinates of air objects. For the developed
simulation model, analytical relationships are obtained for calculating the coordinates of the observed
air objects using rangefinder and goniometric information. A structural diagram of the modeling stages
for determining the trajectory coordinates of air objects is proposed. The model is built on the basis of
goniometric and rangefinder information obtained from the results of field experiments. The developed
simulation model is intended to select the parameters of the systems being designed, as well as to work
out algorithms for combining radar data from two autonomous radars with a common observation area
into a single information field to determine the trajectory coordinates of a mobile UAV-type object, as
well as to determine the tactical and technical characteristics at the stage of developing a functional
interaction of the distributed mobile assets management system.
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Sergeev Mikhail B.
Doctor of Technical Sciences, Professor
Email: mbse@mail.ru
ORCID |
Federal State Autonomous Educational Institution of Higher Education “St. Petersburg State University of Aerospace Instrumentation”
St. Petersburg, Russian Federation
Sentsov Anton A.
Candidate Of Technical Sciences, Associate Professor
Email: toxx@list.ru
ORCID |
Federal State Autonomous Educational Institution of Higher Education “St. Petersburg State University of Aerospace Instrumentation”
St. Petersburg, Russian Federation
Grigoryev Evgeniy K.
Email: ev.grig95@gmail.com
ORCID |
Federal State Autonomous Educational Institution of Higher Education “St. Petersburg State University of Aerospace Instrumentation”
St. Petersburg, Russian Federation
Nenashev Sergey A.
Email: nenashev_sergey178@mail.ru
ORCID |
Federal State Autonomous Educational Institution of Higher Education “St. Petersburg State University of Aerospace Instrumentation”
St. Petersburg, Russian Federation
