Devising a method for determining the coordinates of an unmanned aerial vechicle via a network of portable spectrum analyzers
DOI:
https://doi.org/10.15587/1729-4061.2024.318551Keywords:
unmanned aerial vehicle, network of portable spectrum analyzers, differential remote sensing methodAbstract
The object of this study is the process of determining the coordinates of unmanned aerial vehicles. The study hypothesis assumed that the use of a network of portable spectrum analyzers could make it possible to detect the signals of the on-board systems of an unmanned aerial vehicle and reduce the mean square error in determining its coordinates.
A method for determining the coordinates of an unmanned aerial vehicle using a network of portable spectrum analyzers has been improved, which, unlike known ones, allows for the following:
– using signals of on-board equipment of an unmanned aerial vehicle;
– using a network of portable spectrum analyzers;
– application of both the triangulation and the difference-ranging method for determining the coordinates of an unmanned aerial vehicle by a network of portable spectrum analyzers;
– carrying out spectral analysis of the signals of the on-board systems of the unmanned aerial vehicle (carried out additionally if necessary).
Experimental studies have shown the capabilities of a portable spectrum analyzer to receive signals and display their spectra and spectrograms.
The accuracy in determining the coordinates of an unmanned aerial vehicle by a network of portable spectrum analyzers was evaluated. It has been established:
– the use of a network of portable spectrum analyzers significantly reduces the root mean square error in measuring the coordinates of an unmanned aerial vehicle by approximately 50 % compared to the error of one portable spectrum analyzer;
– as the distance from the network elements of portable spectrum analyzers increases, the mean square error increases.
– the use of a network of portable spectrum analyzers reduces the root mean square error in determining the coordinates of an unmanned aerial vehicle by an average of 2.29–2.62 times compared to the radar P-19MA, depending on the range
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Copyright (c) 2024 Hennadii Khudov, Oleksandr Makoveichuk, Oleksandr Kostyria, Ihor Butko, Andrii Poliakov, Yaroslav Kozhushko, Serhii Yarovyi, Oleksii Serdiuk, Petro Mynko, Rostyslav Khudov
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