Open AccessMethod of frequency-spatial selection of radio emissions using a triorthogonal antenna system
Author(s) -
Sergej Dvornikov,
Vladimir Konyukhovsky,
A. N. Simonov
Publication year - 2020
Publication title -
informacionno-upravlâûŝie sistemy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.202
H-Index - 6
eISSN - 2541-8610
pISSN - 1684-8853
DOI - 10.31799/1684-8853-2020-1-63-72
Subject(s) - radio frequency , polarization (electrochemistry) , computer science , antenna (radio) , radio wave , transformation (genetics) , algorithm , electronic engineering , telecommunications , engineering , biochemistry , chemistry , gene
An unresolved problem in radio monitoring is the separation of overlapping radio spectrum from different sourceswhen restricted dimensions of the antenna system do not provide the necessary spatial resolution. Purpose: Developing models of radioemissions and procedures for their processing in order to select signals from different sources out of their additive mixture at the antennasystem input. Methods: Point linear regression for the decomposition of the resulting field at the triorthogonal antenna system inputinto basic functions which are consistent with the frequency parameters of the radio emissions. Results: On the geometric basis, using acoordinate transformation matrix, due to the reference system rotation, radio emission models with different polarization are proposedfor a plane electromagnetic wave with a given arrival direction. The developed models have the amplitude and phase parameters split intoseparate factors. Procedures have been developed for separating the additive mixture of radio emissions in the triorthogonal antennasystem into components related to different sources. The novelty of the presented solution lies in the use of geometric interpretationof the point linear regression problem, when the resulting vector of the electric field of the sum of two radio emissions is decomposedinto linearly independent vectors composed of basic functions whose choice is determined by the frequency parameters of the signals.In addition to the actual selection of the signals, it is possible to analyze the spatial and polarization parameters of the radio emissions.Practical relevance: The method can be implemented in radio monitoring equipment with restrictions on the weight and dimensions, forthe use in complex signal environments.