Substantiation of technical characteristics of promising high-speed multi-band broadband military radio stations
DOI:
https://doi.org/10.15587/2706-5448.2022.259792Keywords:
radioelectronic environment, network-centric war, multi-band radio stations, technical characteristicsAbstract
The issue of improving the technical characteristics of promising high-speed multi-band broadband military radios is an important issue. It happens because of the increase in the number of devices of communication in information and telecommunication networks, as well as the growing requirements for the level of technical characteristics of these devices. Given the above, the object of the research is a promising high-speed multi-band broadband military radios. The subject of the research is the technical characteristics of promising high-speed multi-band broadband military radios. In the course of the research, classical methods of analysis and synthesis were used. The research analyzes global trends in the construction and development of wireless access networks, which allows concluding on the prospects of development (purchase) and implementation of high-speed multi-band broadband military radios for the Armed Forces of Ukraine. The results of the analysis of characteristics and parameters of high-speed multi-band broadband radio stations of the world's leading countries allow to determine the main features and requirements for promising radios, as well as to substantiate the use of high-speed radio stations in the Armed Forces of Ukraine. The conditions and factors influencing the possibilities of using promising broadband radio stations in the conditions of modern wars and armed conflicts are determined. The analysis allows to conclude that broadband radio access systems will be used to organize access to information resources in the information and telecommunications environments of network-centric and information wars.
References
- Shishatckii, A. V., Bashkirov, O. M., Kostina, O. M. (2015). Rozvitok іntegrovanikh sistem zv’iazku ta peredachі danikh dlia potreb Zbroinikh Sil. Naukovo-tekhnіchnii zhurnal «Ozbroennia ta vіiskova tekhnіka», 1 (5), 35–40.
- Tymchuk, S. (2017). Methods of Complex Data Processing from Technical Means of Monitoring. Path of Science, 3 (3), 4.1–4.9. doi: http://doi.org/10.22178/pos.20-4
- Sokolov, K. O., Hudyma, O. P., Tkachenko, V. A., Shyiatyi, O. B. (2015). Osnovni napriamy stvorennia IT-infrastruktury Ministerstva oborony Ukrainy. Zbirnyk naukovykh prats Tsentru voienno-stratehichnykh doslidzhen, 3 (6), 26–30.
- Shevchenko, D. H. (2020). The set of indicators of the cyber security system in information and telecommunication networks of the armed forces of Ukraine. Modern Information Technologies in the Sphere of Security and Defence, 38 (2), 57‒62. doi: http://doi.org/10.33099/2311-7249/2020-38-2-57-62
- Makarenko, S. I. (2017). Perspektivy i problemnye voprosy razvitiia setei sviazi spetcialnogo naznacheniia. Sistemy upravleniia, sviazi i bezopasnosti, 2, 18–68.
- Zuiev, P., Zhyvotovskyi, R., Zvieriev, O., Hatsenko, S., Kuprii, V., Nakonechnyi, O. et. al. (2020). Development of complex methodology of processing heterogeneous data in intelligent decision support systems. Eastern-European Journal of Enterprise Technologies, 4 (9 (106)), 14–23. doi: http://doi.org/10.15587/1729-4061.2020.208554
- Brownlee, J. (2011). Clever algorithms: nature-inspired programming recipes. LuLu, 441.
- Gorokhovatsky, V., Stiahlyk, N., Tsarevska, V. (2021). Combination method of accelerated metric data search in image classification problems. Advanced Information Systems, 5 (3), 5–12. doi: http://doi.org/10.20998/2522-9052.2021.3.01
- Meleshko, Y., Drieiev, O., Drieieva, H. (2020). Method of identification bot profiles based on neural networks in recommendation systems. Advanced Information Systems, 4 (2), 24–28. doi: http://doi.org/10.20998/2522-9052.2020.2.05
- Rybak, V. A., Akhmad, Sh. (2016). Analiticheskii obzor i sravnenie sushchestvuiushchikh tekhnologii podderzhki priniatiia reshenii. Sistemnyi analiz i prikladnaia informatika, 3, 12–18.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Oleksandr Symonenko
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.