Abstract

The article presents a method for estimating the error of signal parameters of VHF/UHF and Wi-Fi radio communication systems under the influence of intentional interference, which is critical for increasing the stability and efficiency of communication of Ukraine’s security forces. Given the current challenges in the field of electronic warfare, particularly the growing level of intentional interference, there is a need to develop methods for adapting communication systems to maintain their performance in the face of active enemy radio frequency interference.

The proposed method is based on the estimation of the selective variance of signals, which allows taking into account changes in signal characteristics under interference and correcting parameters to minimise errors. Two main algorithms for calculating the variance are defined: exact and approximate. The exact method is used in situations where a sufficient amount of data is available and it is possible to perform complex calculations. Instead, the approximate method provides high performance, which allows estimating the parameters of signals in real time, which is especially important for adaptive communication systems in the conditions of active manoeuvring of military units.

The influence of measurement errors, in particular quantisation errors arising in the process of digital signal processing, is investigated. Methods for correcting these errors by introducing special correction factors are proposed, which reduce the effect of quantisation and increase the accuracy of determining the statistical characteristics of signals. In addition, the influence of correlation between sample elements on the accuracy of variance estimation, which has not been previously considered in known works, is analysed.

The scientific novelty of the study is determined, which consists in developing an approach to estimating the error of signal parameters, taking into account not only the general features of digital processing, but also the specifics of communication systems under conditions of active radio electronic interference.

It is proved that the use of the proposed methods allows to adapt the communication parametersin real time, which significantly improves the reliability and quality of information transmission in the conditions of hostilities or other crisis situations.

Keywords: information-analytical support, automated control system, weapons and military equipment, radio communication systems, signals, radio communication systems of vhf/uhf and wi-fi bands, intentional interference, electronic warfare, power density, adaptation of existing radio communication systems, state security

FULL TEXT (in Ukrainian)

References:

1.     Asavalyuk, A.V., Gerasymov, S.V., & Roshchupkin, E.S. (2017). Errors in determining the full velocity vector in a single rectangular coordinate system by a system of radar observation stations with different accuracy. Weapons Systems and Military Equipment, (2)50, 53-56.

2.     Barton, D. (2012). Radar Equations for Modern Radar. London: Artech House.

3.     Avrutov, V.V., Avrutova, I.V., & Popov, V.M. (2009). Testing of Instruments and Systems: Types of Testing and Modern Equipment. Kyiv: NTUU «Kyiv Polytechnic Institute».

4.     Kovalchuk, A., Oleshchuk, M., Karlov, V., et al. (2021). Analysis of sensitivity of target tracking systems to external interference in multichannel radars with fixed parameters. Advanced Information Systems, 4(1), 82-86. doi:10.20998/2522-9052.2021.1.11.

5.     Gerasymov, S.V., Grychanyuk, O.M., & Zhuravlov, O.O. (2017). Research on high-precision navigation systems for aircraft based on ground landmarks. Collection of Scientific Papers of Kharkiv National University of Air Forces, (5)54, 48-53.

6.        Kozhushko, Y., Karlov, D., Klimishen, O., et al. (2018). Comparison of the efficiency of some images superposition algorithms used in aircraft map-matching navigation systems. 2018 IEEE International Conference on Mathematical Methods in Electromagnetic Theory, Kyiv, Ukraine, 282-285.

7.     Herasymov, S., Olenchenko, V., Yevseiev, S., Milevskyi, S., & Pohasii, S. (2022). Investigation of the dynamic filters' characteristics for the analysis of random signals during data transmission. 2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek), 162-166.

8.     Listrova, S.V., Listrovaya, E.S., & Kurtsev, M.S. (2017). Ranked approach to solving linear and nonlinear Boolean programming problems for planning and control in distributed computing systems. Electronic Modeling, 1, 19-38.

9.     Clarke, F. (2013). Functional Analysis, Calculus of Variations and Optimal Control. New York: Springer.

10.  Yevseiev, S., Kuznietsov, O., Gerasimov, S., et al. (2021). Development of an optimization method for measuring the Doppler frequency of a packet taking into account the fluctuations of the initial phases of its radio pulses. Eastern-European Journal of Enterprise Technologies, 2/9(110), 6-15.

11.     Shin, K. (2019). On the selection of sensor locations for the fictitious FRF-based fault detection method. International Journal of Emerging Trends in Engineering Research, 7(7), 569-575. doi:10.30534/ijeter/2019/277112019.

12.     Herasymov, S., Tymochko, O., Kolomiitsev, O., et al. (2019). Formation analysis of multi-frequency signals of laser information measuring system. EUREKA: Physics and Engineering, 5, 19-28.

The article was submitted 13.12.2024
© Manko A., 2024
Creative Commons Attribution 4.0 International License (CC BY 4.0)