Assessing the detection zones of radar stations with the additional use of radiation from external sources

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.216118

Keywords:

detection zone, single-position reception, distributed location, air object, radar station

Abstract

This paper reports the assessment of the detection zone of survey radar stations under a mode of single-place location. The detection zone under this mode significantly depends on the properties of the single-position effective surface of air objects scattering. The assessment of the detection zone of survey radar stations under a mode of the distributed location has been performed. It was established that the dimensions of the detection zone of air objects under a mode of the distributed location depend not only on the characteristics of the transmitting and receiving positions but on the system's geometry and the information combining technique as well. It was established that the size and nature of the detection zones of air objects under a mode of distributed reception depend on the distance to the base line and the degree of suppression of the penetrating signal in the receiving position. The detection zone of survey radar stations was estimated when the modes of single-position and distributed location merge. It was established that the shape of an air object detection zone depends on the design features of a particular air object and would take a different form for different types of air objects. However, the general trend to increase the size of the detection zone and reduce the dependence of its shape on the foreshortening of an air object when the merged modes of single-position and distributed reception is inherent in all types of air objects. The quality of using the merging of single-position and distributed reception modes at the predefined flight altitude of an air object was assessed. It was established that the application of the non-coherent combination of the single-position and distributed processing channels would increase the size of the detection zone of stealth aircraft objects by at least 30 % compared to the size of the single-position radar detection zone

Author Biographies

Igor Ruban, Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Professor, First Vice-Rector

Hennadii Khudov, Ivan Kozhedub Kharkiv National Air Force University Sumska str., 77/79, Kharkiv, Ukraine, 61023

Doctor of Technical Sciences, Professor, Head of Department

Department of Radar Troops Tactic

Vitaliy Lishchenko, Ivan Kozhedub Kharkiv National Air Force University Sumska str., 77/79, Kharkiv, Ukraine, 61023

Lecturer

Department of Armament of Radar Troops

Oleksandr Pukhovyi, National Defense University of Ukraine named after Ivan Cherniakhovskyi Povitroflotsky ave., 28, Kyiv, Ukraine, 03049

PhD, Head of Department

Department of Radio-Technical and Special Troops

Serhii Popov, National Defense University of Ukraine named after Ivan Cherniakhovskyi Povitroflotsky ave., 28, Kyiv, Ukraine, 03049

PhD

Department of Radio-Technical and Special Troops

Ruslan Kolos, Hetman Petro Sahaidachnyi National Army Academy Heroiv Maidanu str., 32, Lviv, Ukraine, 79012

PhD, Associate Professor, Deputy Head of Department

Department of Tactics of Combat (Operational) Support Units

Taras Kravets, Hetman Petro Sahaidachnyi National Army Academy Heroiv Maidanu str., 32, Lviv, Ukraine, 79012

PhD, Associate Professor, Lecturer

Department of Artillery Facility Complexes and Devices

Nazar Shamrai, Ivan Kozhedub Kharkiv National Air Force University Sumska str., 77/79, Kharkiv, Ukraine, 61023

Head of the Group

Department of Tactics and Military Disciplines

Yuriy Solomonenko, Ivan Kozhedub Kharkiv National Air Force University Sumska str., 77/79, Kharkiv, Ukraine, 61023

PhD, Deputy Head of the Department

Department of Radar-Technical Troops of Anti-Aircraft

Iryna Yuzova, Civil Aviation Institute Klochkivska str., 228, Kharkiv, Ukraine, 61023

PhD, Lecturer

Department of Information Technologies

References

  1. Armenia Azerbaijan: Reports of fresh shelling dent ceasefire hopes. Available at: https://www.bbc.com/news/world-europe-54488386
  2. Civil War in Syria. Available at: https://www.cfr.org/global-conflict-tracker/conflict/civil-war-syria
  3. Banasik, M. (2020). Armed Forces As The Russian Federation’s Strategic Tool. Journal on Baltic Security, 5 (2), 29–40. doi: https://doi.org/10.2478/jobs-2019-0008
  4. Eckel, M. (2020). Drone Wars: In Nagorno-Karabakh, The Future Of Warfare Is Now. Available at: https://www.rferl.org/a/drone-wars-in-nagorno-karabakh-the-future-of-warfare-is-now/30885007.html
  5. Tarshyn, V., Tantsiura, A., Kozhushko, Y., Vasylyshyn, V., Mosharenkov, V., Tarshyna, Y. (2020). The Objects Detection Increasing Probability Method on Integrated Images of the Sight Surface in Difficult Observation Conditions. International Journal of Emerging Trends in Engineering Research, 8 (8), 4659–4665. doi: https://doi.org/10.30534/ijeter/2020/99882020
  6. Savchenko, V., Haidur, H., Gakhov, S., Lehominova, S., Muzshanova, T., Novikova, I. (2020). Model of Control in a UAV Group for Hidden Transmitters Detection on the Basis of Local Self-Organization. International Journal of Advanced Trends in Computer Science and Engineering, 9 (4), 6167–6174. doi: https://doi.org/10.30534/ijatcse/2020/291942020
  7. Barabash, O. V., Dakhno, N. B., Shevchenko, H. V., Majsak, T. V. (2017). Dynamic models of decision support systems for controlling UAV by two-step variational-gradient method. 2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD). doi: https://doi.org/10.1109/apuavd.2017.8308787
  8. Barton, D. K. (2005). Radar System Analysis and Modeling. Boston: Artech House.
  9. Willis, N. J., Griffiths, H. D. (Eds.) (2007). Advances in Bistatic Radar. Raleigh: SciTech Publishing. doi: https://doi.org/10.1049/sbra001e
  10. Chesanovskyi, I., Babii, Y., Levchunets, D. (2016). Application of non-stationary signals matched windowing in pulse radiolocation tasks. 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET). doi: https://doi.org/10.1109/tcset.2016.7452038
  11. Khudov, G. V. (2003). Features of optimization of two-alternative decisions by joint search and detection of objects. Problemy Upravleniya I Informatiki (Avtomatika), 5, 51–59.
  12. Khudov, H., Zvonko, A., Khizhnyak, I., Shulezko, V., Khlopiachyi, V., Chepurnyi, V., Yuzova, I. (2020). The Synthesis of the Optimal Decision Rule for Detecting an Object in a Joint Search and Detection of Objects by the Criterion of Maximum Likelihood. International Journal of Emerging Trends in Engineering Research, 8 (2), 520–524. doi: https://doi.org/10.30534/ijeter/2020/40822020
  13. Drone/UAV Detection and Tracking. Available at: https://www.hgh-infrared.com/Applications/Security/Drone-UAV-Detection-and-Tracking
  14. Ezuma, M., Erden, F., Kumar, C., Ozdemir, O., Guvenc, I. (2019). Micro-UAV Detection and Classification from RF Fingerprints Using Machine Learning Techniques. Available at: https://arxiv.org/pdf/1901.07703.pdf
  15. Khudov, H., Yarosh, S., Savran, V., Zvonko, A., Shcherba, A., Arkushenko, P. (2020). The Technique of Research on the Development of Radar Methods of Small Air Objects Detection. International Journal of Emerging Trends in Engineering Research, 8 (7), 3708–3715. doi: https://doi.org/10.30534/ijeter/2020/132872020
  16. Automated systems and components. Available at: https://www.aerotechnica.ua/en/
  17. Scientific and production complex «Iskra». Available at: https://iskra.zp.ua/index.php?option=com_content&view=article&id=45&Itemid=107&lang=en
  18. Khudov, H., Zvonko, A., Kovalevskyi, S., Lishchenko, V., Zots, F. (2018). Method for the detection of small­sized air objects by observational radars. Eastern-European Journal of Enterprise Technologies, 2 (9 (92)), 61–68. doi: https://doi.org/10.15587/1729-4061.2018.126509
  19. Richards, M. A., Scheer, J. A., Holm, W. A. (Eds.) (2010). Principles of Modern Radar: Basic principles. SciTech Publishing. doi: https://doi.org/10.1049/sbra021e
  20. Melvin, W. L., Scheer, J. A. (Eds.) (2012). Principles of Modern Radar: Advanced techniques. SciTech Publishing. doi: https://doi.org/10.1049/sbra020e
  21. Melvin, W. L., Scheer, J. A. (Eds.) (2013). Principles of Modern Radar: Volume 3: Radar Applications. SciTech Publishing, 820. doi: https://doi.org/10.1049/sbra503e
  22. Bezouwen, J., Brandfass, M. (2017). Technology Trends for Future Radar. Microwave Journal. Available at: http://www.microwavejournal.com/articles/29367-technology-trends-for-future-radar
  23. Willis, N. J. (2004). Bistatic Radar. SciTech Publishing. doi: https://doi.org/10.1049/sbra003e
  24. Griffiths, H. D., Baker, C. J. (2017). An Introduction to Passive Radar. Artech House, 234.
  25. Nazari Majd, M., Radmard, M., Chitgarha, M. M., Bastani, M. H., Nayebi, M. M. (2017). Detection-Localization Tradeoff in MIMO Radars. Radioengineering, 26 (2), 581–587. doi: https://doi.org/10.13164/re.2017.0581
  26. Chernyak, V. S. (2012). Mnogopozitsionnye radiolokatsionnye sistemy na osnove MIMO RLS. Uspehi sovremennoy radioelektroniki, 8, 29–46.
  27. Garcia, N., Haimovich, A. M., Coulon, M., Lops, M. (2014). Resource Allocation in MIMO Radar With Multiple Targets for Non-Coherent Localization. IEEE Transactions on Signal Processing, 62 (10), 2656–2666. doi: https://doi.org/10.1109/tsp.2014.2315169
  28. Bliss, D. W. (2014). Cooperative radar and communications signaling: The estimation and information theory odd couple. 2014 IEEE Radar Conference. doi: https://doi.org/10.1109/radar.2014.6875553
  29. Chiriath, A. R., Ragi, S., Bliss, D. W., Mittelmann, H. D. Novel Radar Waveform Optimization for a Cooperative Radar-Communications System. Available at: http://www.optimization-online.org/DB_FILE/2017/10/6271.pdf
  30. Stutzman, W. L., Thiele, G. A. (2013). Antenna theory and design. John Wiley & Sons, 848.
  31. Wulf-Dieter, W. (2013). Radar Techniques Using Array Antennas. IET Radar, 460. doi: https://doi.org/10.1049/pbra026e
  32. Maslovskiy, A. A., Vasylets, V., Nechitaylo, S. V., Sukharevsky, O. (2019). Method of radar masking of the ground based military equipment objects. Telecommunications and Radio Engineering, 78 (1), 47–58. doi: https://doi.org/10.1615/telecomradeng.v78.i1.60
  33. Khudov, H., Lykianchykov, A., Okipniak, D., Baranik, O., Ovcharenko, O., Shamra, N. (2020). The Small Air Objects Detection Method on the Basis of Combination of Single-position and Different Receipt of Signals. International Journal of Emerging Trends in Engineering Research, 8 (8), 4463–4471. doi: https://doi.org/10.30534/ijeter/2020/68882020
  34. Sukharevsky, O. I. (Ed.) (2015). Electromagnetic Wave Scattering by Aerial and Ground Radar Objects. CRC Press, 334. doi: https://doi.org/10.1201/9781315214511
  35. Bakulev, P. A. (2004). Radiolokatsionnye sistemy. Moscow: Radiotehnika, 320.

Downloads

Published

2020-12-31

How to Cite

Ruban, I., Khudov, H., Lishchenko, V., Pukhovyi, O., Popov, S., Kolos, R., Kravets, T., Shamrai, N., Solomonenko, Y., & Yuzova, I. (2020). Assessing the detection zones of radar stations with the additional use of radiation from external sources. Eastern-European Journal of Enterprise Technologies, 6(9 (108), 6–17. https://doi.org/10.15587/1729-4061.2020.216118

Issue

Vol. 6 No. 9 (108) (2020): Information and controlling system

Section

Information and controlling system

License

Copyright (c) 2020 Igor Ruban, Hennadii Khudov, Vitaliy Lishchenko, Oleksandr Pukhovyi, Serhii Popov, Ruslan Kolos, Taras Kravets, Nazar Shamrai, Yuriy Solomonenko, Iryna Yuzova

Creative Commons License

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.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.