EXPLOITING SIMULATION OF ELECTRONIC COUNTER MEASURES AGAINST INFORMATION TRANSMITTING SYSTEMS FOR ESTIMATING THEIR ENERGETIC EFFICIENCY
- Authors
-
-
- Keywords:
- Array, Array, Array, Array, Array, Array
- Abstract
-
We consider exploiting simulation of functioning of multichannel (multi-station) information transmitting systems with TDM(A)-QPSK, DS-CDM(A)-QPSK, CP-MFSK-CDM(A)-QPSK, OFDM(А)-QPSK that operate under jamming conditions for estimating their energetic efficiency. The results of estimating energetic efficiency of aforementioned information transmitting systems operating under jamming conditions are shown in the form of dependences of bit error probabilities on signal-to-noise ratio. These dependences are obtained by statistical testing method. We demonstrate possibilities of simulation models developed for multichannel (multi-station) information transmitting systems operating under jamming conditions. The obtained models of multichannel (multi-station) information transmitting systems operating in jam conditions allow: simulating their functioning; estimating their efficiency amid jam conditions; controlling signal-energetic relations between useful and interference signals; substantiating main requirements concerning electronic counter-counter measures; choosing optimal variants of multichannel (multi-station) information transmitting systems; choosing optimal types of interference signals for jamming modern information transmitting systems. Exploiting statistical testing method within the framework of simulating multichannel (multi-station) information transmitting systems operating in jam conditions allow obtaining necessary energetic efficiency indices of such information transmitting systems (bit and symbol error rates). It is shown that the most acceptable variant of military purpose multichannel (multi-station) information transmitting system is CP-MFSK-CDM(A) system that is robust with respect to noise barrage and imitating repeat-back jamming.
- Author Biographies
- References
-
Welch, M. & Pywell, M. (2012). Electronic Warfare Test and Evaluation. NATO Research and Technology Organization. 314 p.
Li, M., Koutsopoulos, I. & Poovendran, R. (2007). Optimal jamming attacks and network defence policies in wireless sensor networks. IEEE InfoCOM. IEEE. Pp. 1307—1315. DOI: https://doi.org/10.1109/INFCOM.2007.155
Lu, Z., Wang, W. & Wang, C. (2014). Modeling, evaluation and detection of jamming attacks in time-critical wireless application. IEEE Trans. on Mobile Computing. Vol. 13. No 8. Pp. 1746—1759. DOI: https://doi.org/10.1109/TMC.2013.146
Зібін С.Д., Попов А.О., Твердохлібов В.В. Моделі радіоелектронної боротьби з багатоканальними (багато- станційними) системами передачі інформації. Озброєння та військова техніка. 2021. № 4(32). С. 76—87.
Sklar, B. Digital communications: Fundamentals and Applications. 2nd ed. Prentice Hall. Upper Saddle River. NJ. 2001. 1079 p.
Zhang, K.Q.T. (2016). Wireless Communications: Principles, Theory and Methodology. Wiley and Sons. 448 p. DOI: https://doi.org/10.1002/9781119113263
Vitetta, G.M., Taylor, D.P., Colavolpe, G., Pancaldi, F. & Martin, P.A. (2013). Wireless Communications: Algorithmic Techniques. Wiley and Sons. 744 p. DOI: https://doi.org/10.1002/9781118576618
Цибизов А.А. Оценка эффективности сетей связи. Вестн. Рязанского РГРТУ. 2009. № 3(29). С. 18—22.
Медведев Н.В., Свистун А.И. Формализация показателей качества функционирования телекоммуникационных сетей нового поколения. Наука и образование. 2016. № 7. С. 267—273.
Ju, H. & Zhang, R. (2014). Throughput maximization in wireless powered communication networks. IEEE Trans. Wireless Comm. Vol. 13. № 1. Pp. 418—428. DOI: https://doi.org/10.1109/TWC.2013.112513.130760
Zeng, Y., Zhang, R. & Lim, T.J. (2016). Throughput maximization for UAV-enabled mobile relaying systems. IEEE Trans. on Communications. Vol. 64. № 12. Pp. 4983—4996. DOI: https://doi.org/10.1109/TCOMM.2016.2611512
Налапко О.Л., Попов А.О., Твердохлібов В.В., Шишацький А.В. Оцінка ефективності телекомунікаційних мереж тактичної ланки управління, що функціонують в умовах радіоелектронного подавлення. Озброєння та військова техніка. 2020. № 2(26). С. 104—111.
Glisic, S. & Lorenzo, B. (2009). Advanced Wireless Networks: Cognitive, Cooperative and Opportunistic 4G Technology. 2nd ed. Wiley. DOI: https://doi.org/10.1002/9780470745724
Srikant, R. & Lei, Ying. (2014). Communication Networks: An optimization, control and stochastic networks perspective. Cambridge Univ. Press. DOI: https://doi.org/10.1017/CBO9781139565844
Nagurney, A. & Qiang, Q. (2008). A network efficiency measure with application to critical infrastructure networks. J. of global optimization. № 40. Pp. 261—275. DOI: https://doi.org/10.1007/s10898-007-9198-1
Lian, J., Naik, K. & Agnew, G.B. (2006). Data capacity improvement of wireless sensor networks using non-uniform sensor distribution. Intern. J. of Distributed Sensor Networks. № 2. Pp. 121—145. DOI: https://doi.org/10.1080/15501320500201276
Wu, Q., Chen, W., Kwan, D.W. & Schober, R. (2018). Spectral and energy efficient wireless powered IoT networks: NOMA or TDMA? arXiv:1801.09109v1. DOI: https://doi.org/10.1002/9781119476863.ch13
Cui, S., Goldsmith, A.J. & Bahai, A. (2004). Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J. Sel. Areas Comm. Vol. 22. № 6. Pp. 1089—1098. DOI: https://doi.org/10.1109/JSAC.2004.830916
Gao, Q., Zou, Y., Zhang, J. & Peng, X. (2008). Improving energy-efficiency in a wireless sensor network by combining cooperative MIMO with data aggregation. IEEE Trans. on Vehicular Technology. Vol. 57. № 6. Pp. 3618—3628.
Metropolis, N. & Ulam, S. (1949). The Monte Carlo method. J. of American Statistical Association. Vol. 44. № 247. Pp. 335—341. DOI: https://doi.org/10.1080/01621459.1949.10483310
Fishman, G.S. (1996). Monte Carlo: Concepts, Algorithms, and Applications. Springer. DOI: https://doi.org/10.1007/978-1-4757-2553-7
Бусленко Н.П., Шрейдер Ю.А., Страгович В.Г., Соболь И.М., Голенко Д.И. Метод статистических испытаний. М.: Физматлит. 1962.
Ziemer, R.E. & Tranter, W.H. (2014). Principles of Communications: Systems, Modulation and Noise. Wiley.
Пушкина Е.О. Вероятность ошибки в системе связи с OFDM и QAM в канале с АБГШ. Инфокоммуникационные технологии. 2013.Т. 11. № 2. С. 59—62.
- Downloads
- Published
- 2022-06-30
- Section
- ELECTRONIC WARFARE
- License
-
Copyright (c) 2022 Сергій Зібін ,Андрій Попов ,Володимир Твердохлібов ,Любов Білобородова

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Most read articles by the same author(s)
- Sergey Zibin , Andrey Popov, Vladimir Tverdochlebov, Lubov Biloborodova, ESTIMATING INTERFERENCE IMMUNITY OF GLOBAL NAVIGATION SATELLITE SYSTEM ON-BOARD SIGNAL RECEIVERS BASED ON AIRBORNE PLATFORMS , Weapons and military equipment: Vol. 43 No. 3 (2024): Weapons and military equipment
- Andrey Popov, Vladimir Tverdochlebov, Lubov Biloborodova, Analyzing planar antenna arrays for perspective automated electronic warfare stations operating against on-board radar systems of air assault means , Weapons and military equipment: Vol. 45 No. 1 (2025): Weapons and military equipment
- Vadym Kozlov, Sergey Zibin, Lubov Biloborodova, Andrey Popov, Vladimir Tverdochlebov, Method of electronic environment revealing in tactical level , Weapons and military equipment: Vol. 41 No. 1 (2024): Weapons and military equipment
- Sergey Zibin Sergey, Andrey Popov , Vladimir Tverdochlebov , Lubov Biloborodova , INCREASING INTERFERENCE IMMUNITY OF UAV BOARD INFORMATION TRANSMITTING SYSTEMS: MODELS OF ELECTRONIC WARFARE , Weapons and military equipment: Vol. 40 No. 4 (2023): Weapons and military equipment
- Sergey Zibin , Andrey Popov, Volodymyr Tverdochlebov, Lubov Biloborodova, TECHNOLOGY LEVEL ASSESSMENT WITH RESPECT TO ELECTRONIC WARFARE AND ELECTRONIC INTELLIGENCE SYSTEMS , Weapons and military equipment: Vol. 42 No. 2 (2024): Weapons and military equipment
- Vadym Kozlov , Andriy Krutykh , Andrey Popov, Vladimir Tverdochlebov, RADIOFREQUENCY SIGNAL DIGITAL MODULATION RECOGNITION METHOD BASED ON WAVELET-ANALYSIS , Weapons and military equipment: Vol. 43 No. 3 (2024): Weapons and military equipment
- Sergey Zibin, Andrey Popov, Variant of realization the method of transferring information on the airial environment from the board of a airborne writings and control system sigint to an post , Weapons and military equipment: Vol. 47 No. 3 (2025): Weapons and military equipment
- Olexiy Nalapko, Sergey Zibin, Andrey Popov, Vladimir Tverdochlebov, Exploring the methods of spectral analysis of hydro-acoustic signals in space with l1-metric , Weapons and military equipment: Vol. 44 No. 4 (2024): Weapons and military equipment
- Sergey Zibin , Andrey Popov, Vladimir Tverdochlebov, Lubov Biloborodova, DEVELOPING THE MODELS OF ELECTRONIC WARFARE AGAINST BOARD COMMUNICATION AND INFORMATION TRANSMITTING SYSTEMS OF AVIATION , Weapons and military equipment: Vol. 39 No. 3 (2023): Weapons and military equipment
- Alona Biletska , Sergey Zibin , Vladimir Tverdochlibov , PROMISING DIRECTIONS OF DEVELOPMENT OF RADIO-ELECTRONIC WARFARE MEANS AND TECHNIQUES , Weapons and military equipment: Vol. 36 No. 4 (2022): Weapons and military equipment
