Address Direction Finding of Trunk Communication Systems Signal Sources

Relevance. Trunk radio communication systems have become widespread in Russia and other countries. In this regard, radio intelligence and radio monitoring services must regularly search for and identify functioning radio stations, as well as their direction finding and location assessment. Trunk systems have many frequency channels, and they are dynamically allocated to subscribers for the duration of communication sessions. Since subscribers can use different radio channels at different time intervals, to determine the location of the signal source it is necessary to select its bearings in all radio channels of the system. To solve this problem, address direction finding must be used, which includes detection of signals from trunk network sources, their identification and formation of bearings of identified sources. The aim of the work is to develop algorithms for address direction finding of signal sources of trunk networks DMR, dPMR, NXDN, APCO P25, TETRA. The paper uses methods of computer and full-scale modeling of the developed algorithms. The instrumental base used is a two-channel receiver, an antenna array, trunk systems analyzers and test radio stations. Novelty. The paper presents an algorithm for address direction finding of signal sources of trunk communication systems DMR, dPMR, P25, NXDN, TETRA, which performs detection, identification of signal sources and formation of an estimate of the direction to these sources. An algorithm for the preliminary detection of active radio channels of trunk networks has been developed, which allows for a significant reduction in the number of analyzed carrier frequencies and an increase the speed of the analyzer. Decision. The implementation of the presented algorithm of address direction finding is based on the use of trunk system analyzers and a two-channel radio receiver with an antenna array and navigation equipment. The analyzers implement “addressability”, and the two-channel receiver and antenna array implement direction finding of identified sources. Based on spectral analysis, an algorithm for the preliminary detection of active radio channels of trunk networks has been developed. Practical significance. The implementation of address direction finding of signal sources of trunk communication systems allows determining their location and expands the functionality of existing signal analyzers. The use of the developed algorithm for preliminary detection of active radio channels significantly reduces the analysis time. The developed algorithms for address direction finding have been implemented and successfully tested in the analyzer of signal sources of trunk communication systems based on the direction finder ARTIKUL-M1.

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Publication Details

Journal
Proceedings of Telecommunication Universities
Published
2025-09-01
DOI
https://doi.org/10.31854/1813-324x-2025-11-4-67-77
Primary Topic
Blind Source Separation Techniques
Type
article
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0.00
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article

Address Direction Finding of Trunk Communication Systems Signal Sources

Vladimir Kozmin, V. B. Manelis, В. А. Сладких, D. V. Shatilov
Proceedings of Telecommunication Universities
Blind Source Separation Techniques
article

Address Direction Finding of Trunk Communication Systems Signal Sources

Vladimir Kozmin, V. B. Manelis, В. А. Сладких, D. V. Shatilov
article en

Abstract

Relevance. Trunk radio communication systems have become widespread in Russia and other countries. In this regard, radio intelligence and radio monitoring services must regularly search for and identify functioning radio stations, as well as their direction finding and location assessment. Trunk systems have many frequency channels, and they are dynamically allocated to subscribers for the duration of communication sessions. Since subscribers can use different radio channels at different time intervals, to determine the location of the signal source it is necessary to select its bearings in all radio channels of the system. To solve this problem, address direction finding must be used, which includes detection of signals from trunk network sources, their identification and formation of bearings of identified sources. The aim of the work is to develop algorithms for address direction finding of signal sources of trunk networks DMR, dPMR, NXDN, APCO P25, TETRA. The paper uses methods of computer and full-scale modeling of the developed algorithms. The instrumental base used is a two-channel receiver, an antenna array, trunk systems analyzers and test radio stations. Novelty. The paper presents an algorithm for address direction finding of signal sources of trunk communication systems DMR, dPMR, P25, NXDN, TETRA, which performs detection, identification of signal sources and formation of an estimate of the direction to these sources. An algorithm for the preliminary detection of active radio channels of trunk networks has been developed, which allows for a significant reduction in the number of analyzed carrier frequencies and an increase the speed of the analyzer. Decision. The implementation of the presented algorithm of address direction finding is based on the use of trunk system analyzers and a two-channel radio receiver with an antenna array and navigation equipment. The analyzers implement “addressability”, and the two-channel receiver and antenna array implement direction finding of identified sources. Based on spectral analysis, an algorithm for the preliminary detection of active radio channels of trunk networks has been developed. Practical significance. The implementation of address direction finding of signal sources of trunk communication systems allows determining their location and expands the functionality of existing signal analyzers. The use of the developed algorithm for preliminary detection of active radio channels significantly reduces the analysis time. The developed algorithms for address direction finding have been implemented and successfully tested in the analyzer of signal sources of trunk communication systems based on the direction finder ARTIKUL-M1.

Proceedings of Telecommunication UniversitiesVol. 11(4)
Serco (United Kingdom) (GB)
Openalex Percentile: Top 72%
Blind Source Separation Techniques
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