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DIFFERENCE-RANGE METHOD OF ESTIMATING COORDINATES OF RADIO EMISSION SOURCES BASED ON ARTIFICIAL NEURAL NETWORKS WITH BEARING IN THE DISTANT ZONE
Alexander S. Bosyy, Cherepovets Higher Military Engineering Order of Zhukov School of Radio Electronics (CHVIIURE), Cherepovets, Russia, sanboss@mail.ru
Denis A. Shlyonskikh, A.F.Mozhaysky Military Space Academy (A.F.Mozhaysky VKA), St. Petersburg, Russia, sshlyon@gmail.com
Konstantin L. Ovcharenko, A.F.Mozhaysky Military Space Academy (A.F.Mozhaysky VKA), St. Petersburg, Russia, kostao@ya.ru
Alexander V. Timoshenko, JSC «Radiotechnical Institute named after academician A.L. Mints»;
National Research University MIET, Moscow, Russia, u567ku78@gmail.com
Abstract
The need to determine the location of sources of radio emission (RES) arises when solving problems of various applied problems. The most common methods for determining the location of Iran are differential-ranging methods. The use of difference-ranging methods in practice allows us to achieve a fairly high accuracy in determining the location of an RES located in the near zone, that is, inside an area bounded by measuring points. However, with the removal of the RES from the measuring points, the error in estimating its coordinates increases significantly. The article presents a new differential-ranging method for determining the location of Iran in the far zone using a neural network. As additional information about RES in the far zone, where the error of coordinate estimates significantly exceeds the permissible values, it is proposed to evaluate the bearing on the RES. As an artificial neural network, a two-layer network with direct connection, one hidden layer of fifty-one neurons of the hyperbolic tangent type and one output layer of three neurons with a linear activation function was selected. As a result of mathematical modeling, we obtained estimates of the accuracy of calculating the coordinates of the RES located in the near zone, as well as estimates of the accuracy of direction finding of the RES located in the far zone. The application of the developed method is advisable when implementing the software part of electronic control systems to counter the illegitimate use of the time-frequency resource of commercial communication systems. Another advantage of the developed method is that its implementation in practice does not require changes in the hardware of the existing radio monitoring systems and can be performed by updating the software.
Keywords: positioning; radio emission source; differential and ranging method; bearing; neural networks.
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Information about authors:
Alexander S. Bosyy, Cherepovets Higher Military Engineering Order of Zhukov School of Radio Electronics (CHVIIURE), Cherepovets, Russia
Denis A. Shlyonskikh, A.F.Mozhaysky Military Space Academy (A.F.Mozhaysky VKA), St. Petersburg, Russia
Konstantin L. Ovcharenko, A.F.Mozhaysky Military Space Academy (A.F.Mozhaysky VKA), St. Petersburg, Russia
Alexander V. Timoshenko, JSC «Radiotechnical Institute named after academician A.L. Mints»; National Research University MIET, Moscow, Russia