Method of assessment of frequency resolution for aircraft

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.277898

Keywords:

detection and radio control of individual aircraft, frequency uncertainty function, resolution

Abstract

The object of the study is to evaluate the quality of the frequency distribution of aircraft, which characterizes the effectiveness of radar surveillance of aircraft and determines the effectiveness of their control using radio signals. The frequency resolution of an aircraft is usually studied using the frequency ambiguity function for a coherent packet of radio pulses. However, there is a problem of estimating phase fluctuations, which is caused by the heterogeneity of the propagation of radio pulses, which affects the functioning of radar stations under different atmospheric conditions. A feature of the study is the development of theoretical provisions for the process of detection and radio control of single aircraft under the organized action of swarms. A normalized frequency ambiguity function is obtained, which takes into account the transformations caused by the radial motion of the aircraft. The calculations made it possible to estimate the range of changes in the frequency distribution under the condition of the additive effect of the internal noise of the radar receiver and the multiplicative effect of the cartelized phase fluctuations of the control radio signal. The statistical characteristics of phase fluctuations of radio pulses were obtained, under which their influence on the operation of radio technical control and radar systems is the most significant. Such statistical characteristics are important for the theory of radar location and of practical importance for the improvement of radio control of objects. Method is proposed for numerical evaluation of the influence of atmospheric disturbances on the frequency distribution function of aircraft during flight. This method is a convenient tool for analyzing the quality of the frequency distribution of a radar station in various conditions of radar surveillance of single aircraft in their organized swarm action.

Author Biographies

Serhii Yevseiev, National Technical University “Kharkiv Polytechnic Institute”

Doctor of Technical Science, Professor, Head of Department

Department of Cyber Security

Serhii Herasymov, National Technical University “Kharkiv Polytechnic Institute”

Doctor of Technical Sciences, Professor

Department of Weapons and Military Equipment Operation

Oleksandr Kuznietsov, Ivan Kozhedub Kharkiv National Air Force University

PhD, Associate Professor

Department of Physics and Radioelectronics

Ivan Opirskyy, Lviv Polytechnic National University

Doctor of Technical Science

Department of Information Security

Andrii Volkov, Ivan Kozhedub Kharkiv National Air Force University

Department of Tactics of Air Defense Troops

Yevhen Peleshok, Research Institute of Military Intelligence

PhD, Researcher

Igor Sinitsyn, Institute of Software Systems of National Academy of Sciences of Ukraine

Doctor of Technical Sciences, Senior Researcher

Stanislav Milevskyi, National Technical University “Kharkiv Polytechnic Institute”

PhD, Associate Professor

Department of Cyber Security

Tetiana Matovka, State University "Uzhhorod National University"

PhD, Senior Lecturer

Department of Finance and Banking

Vasyl Rizak, State University "Uzhhorod National University"

Doctor of Physical and Mathematical Sciences, Professor

Department of Solid State Electronics and Information Security

References

  1. Richards, M. (2014). Fundamentals of radar signal processing. McGraw-Hill Education, 656.
  2. Skolnik, M. I. (2002). Introduction to radar systems. McGraw-Hill Education, 590.
  3. Melvin, W. L., Scheer, J. A. (Eds.) (2012). Principles of modern radar: advanced techniques. SciTech, 872.
  4. Gini, F. (2021). Grand Challenges in Radar Signal Processing. Frontiers in Signal Processing, 1. doi: https://doi.org/10.3389/frsip.2021.664232
  5. Chen, V. C., Ling, H. (2001). Time-frequency transforms for radar imaging and signal analysis. Artech House.
  6. Zhu, X. X., Tuia, D., Mou, L., Xia, G.-S., Zhang, L., Xu, F., Fraundorfer, F. (2017). Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources. IEEE Geoscience and Remote Sensing Magazine, 5 (4), 8–36. doi: https://doi.org/10.1109/mgrs.2017.2762307
  7. Haykin, S. (2006). Cognitive radar: a way of the future. IEEE Signal Processing Magazine, 23 (1), 30–40. doi: https://doi.org/10.1109/msp.2006.1593335
  8. Aubry, A., De Maio, A., Huang, Y., Piezzo, M., Farina, A. (2015). A new radar waveform design algorithm with improved feasibility for spectral coexistence. IEEE Transactions on Aerospace and Electronic Systems, 51 (2), 1029–1038. doi: https://doi.org/10.1109/taes.2014.140093
  9. Chen, V. C. (2014). Advances in applications of radar micro-doppler signatures. Proceeding. IEEE conference Antenna measurements applications (CAMA). Antibes Juan-les-Pins. doi: https://doi.org/10.1109/cama.2014.7003362
  10. Shirman, Ya. D. (Ed.) (2007). Radioelektronnyye sistemy: osnovy postroyeniya i teoriya: spravochnik. Moscow: Radio engineering, 512.
  11. Klemm, R., Nickel, U., Gierull, C., Lombardo, P., Griffiths, H., Koch, W. (Eds.) (2013). Principles of Modern Radar: Advanced Technics. New York: SciTech Publishing, IET, Edison, 820. doi: https://doi.org/10.1049/sbra503e
  12. Klemm, R., Nickel, U., Gierull, C., Lombardo, P., Griffiths, H., Koch, W. (Eds.) (2017). Novel Radar Technics and Applications. Vol. 1: Real Aperture Array Radar, Imaging Radar, and Passive and Multsstatic Radar. London: SciTech Publishing, IET, 923. doi: https://doi.org/10.1049/sbra512f
  13. Zohuri B. (2020). Fundaments of Radar. Radar Energy Warfare and the Challenges of Stealth Technology. Cham: Springer, 1–110. doi: https://doi.org/10.1007/978-3-030-40619-6_1
  14. Herasimov, S., Belevshchuk, Y., Ryapolov, I., Tymochko, O., Pavlenko, M., Dmitriiev, O. et al. (2018). Characteristics of radiolocation scattering of the Su­25T attack aircraft model at different wavelength ranges. Eastern-European Journal of Enterprise Technologies, 6 (9 (96)), 22–29. doi: https://doi.org/10.15587/1729-4061.2018.152740
  15. Kovalchuk, A., Oleshchuk, M., Karlov, V., Karpenko, O., Biesova, O., Lukashuk, O. (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: https://doi.org/10.20998/2522-9052.2021.1.11
  16. Savchenko, V., Laptiev, O., Kolos, O., Lisnevskyi, R., Ivannikova, V., Ablazov, I. (2021). Hidden Transmitter Localization Accuracy Model Based on Multi-Position Range Measurement. 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (IEEE ATIT 2020) Conference Proceedings. Kyiv, 246–251. doi: https://doi.org/10.1109/atit50783.2020.9349304
  17. Barton, D. K. (2012). Radar Equations for Modern Radar. London: Artech House, 264.
  18. Herasimov, S., Tymochko, O., Kolomiitsev, O., Aloshin, G., Kriukov, O., Morozov, O., Aleksiyev, V. (2019). Formation analysis of multi-frequency signals of laser information measuring system. EUREKA: Physics and Engineering, 5, 19–28. doi: https://doi.org/10.21303/2461-4262.2019.00984
  19. Minervin, N. N., Karlov, D. V., Konovalov, V. M. (2013). Features of influencing the ionosphere on radar signals at accelerated motion of space objects. Applied Radio Electron-ics, 12 (4), 530–532.
  20. Karlov, V., Kuznetsov, О., Belousov, V., Tuzikov, S., Oleschuk, M., Petrushenko, V. (2021). Accuracy of measurement of aerodynamic objects angular coordinates under tropospheric refraction conditions. Control, navigation and communication systems, 1 (63), 146–152. doi: https://doi.org/10.26906/sunz.2021.1.146
  21. Volosyuk, V. K., Gulyaev, Yu. V., Kravchenko, V. F., Kutuza, B. G., Pavlikov, V. V., Pustovoit, V. I. (2014). Modern methods for optimal spatio-temporal signal processing in active, passive, and combined active-passive radio-engineering systems. Journal of Communications Technology and Electronics, 59 (2), 97–118. doi: https://doi.org/10.1134/s1064226914020090
  22. Klochko, V. K. (2016). Algorithms of 3D radio-wave imaging in airborne Doppler radar. Radioelectronics and Communications Systems, 59 (8), 335–343. doi: https://doi.org/10.3103/s0735272716080021
  23. Karlov, V. D., Rodiukov, A. O., Pichuhin, I. M. (2015). Statystychni kharakterystyky radiolokatsiinykh syhnaliv vidbytykh vid mistsevykh predmetiv v umovakh anomalnoi refraktsii. Nauka i tekhnika Povitrianykh Syl Zbroinykh Syl Ukrainy, 4 (21), 71–74.
  24. Karlov, V., Kuznietsov, O., Artemenko, A., Karlov, A. (2019). Evaluation of the accuracy of measuring the radial velocity of a target with an exponential and alternating decrease in phase correlation of the burst radio signal. Advanced Information Systems, 3 (1), 71–75. doi: https://doi.org/10.20998/2522-9052.2019.1.12
  25. Kuznietsov, O., Karlov, V., Karlov, A., Kiyko, A., Lukashuk, O., Biesova, O., Petrushenko, M. (2020). Estimation of the Dispersion of the Error in Measuring the Frequency of a Pack with Correlated Fluctuations in the Initial Phases of its Radio Pulses. 2020 IEEE Ukrainian Microwave Week (UkrMW). Kharkiv, 174–178. doi: https://doi.org/10.1109/ukrmw49653.2020.9252588
  26. Ilioudis, C. V., Clemente, C., Proudler, I. K., Soraghan, J. (2019). Generalized Ambiguity Function for MIMO Radar Systems. IEEE Transactions on Aerospace and Electronic Systems, 55 (6), 2629–2646. doi: https://doi.org/10.1109/taes.2019.2907390
  27. Minervin, N. N., Vasyuta, K. S. (2013). Measure of angular resolution capability and measuring accuracy of a wave arrival corner in the presence of irregular distortions of its front and additive noise. Applied Radio Electronics, 12 (4), 484–486.
  28. Yevseiev, S., Biesova, O., Kyrychenko, D., Lukashuk, O., Milevskyi, S., Pohasii, S. et al. (2021). Development of a method for estimating the effect of transformation of the normalized frequency mismatch function of a coherent bundle of radio pulses on the quality of radar frequency resolution. Eastern-European Journal of Enterprise Technologies, 4 (4 (112)), 13–22. doi: https://doi.org/10.15587/1729-4061.2021.238155
  29. Herasimov, S., Borysenko, M., Roshchupkin, E., Hrabchak, V. I., Nastishin, Yu. A. (2021). Spectrum Analyzer Based on a Dynamic Filter. Journal of Electronic Testing, 37 (3), 357–368. doi: https://doi.org/10.1007/s10836-021-05954-0
  30. Yevseiev, S., Kuznietsov, O., Herasimov, S., Horielyshev, S., Karlov, A., Kovalov, I. 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. doi: https://doi.org/10.15587/1729-4061.2021.229221
  31. Mogyla, A. A. (2014). Application of stochastic probing radio signals for the range-velocity ambiguity resolution in doppler weather radars. Radioelectronics and Communications Systems, 57 (12), 542–552. doi: https://doi.org/10.3103/s0735272714120036
Method of assessment of frequency resolution for aircraft

Downloads

Published

2023-04-29

How to Cite

Yevseiev, S., Herasymov, S., Kuznietsov, O., Opirskyy, I., Volkov, A., Peleshok, Y., Sinitsyn, I., Milevskyi, S., Matovka, T., & Rizak, V. (2023). Method of assessment of frequency resolution for aircraft. Eastern-European Journal of Enterprise Technologies, 2(9 (122), 34–45. https://doi.org/10.15587/1729-4061.2023.277898

Issue

Vol. 2 No. 9 (122) (2023): Information and controlling system

Section

Information and controlling system

License

Copyright (c) 2023 Serhii Yevseiev, Serhii Herasymov, Oleksandr Kuznietsov, Ivan Opirskyy, Andrii Volkov, Yevhen Peleshok, Igor Sinitsyn, Stanislav Milevskyi, Tetiana Matovka, Vasyl Rizak

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.