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

Authors

DOI:

https://doi.org/10.15587/1729-4061.2021.229221

Keywords:

aerodynamic object, coherent packet of radio pulses, radar, RMS error, Doppler frequency

Abstract

The necessity of estimating the decrease in the accuracy of measuring the informative parameters of a radar signal in real conditions of its propagation and reflection has been substantiated. The results of the estimation determine the requirements for optimizing this measurement to achieve the required efficiency. A numerical analysis of the decrease in the accuracy of measuring the Doppler frequency of a coherent packet is presented, depending on the statistical characteristics of fluctuations of the initial phases of its radio pulses. Expressions are given for calculating the fluctuation component of the measurement error of radio pulse packet frequency for various coefficients of interpulse correlation of phase fluctuations. An assessment is made of the possibility of increasing the accuracy of Doppler frequency measurement, which can be ensured by statistical optimization of the algorithm for time-frequency processing of a given radar signal by taking into account its phase fluctuations. The conditions for the multiplicative influence of phase fluctuations of radio pulses of the received packet are substantiated, which determine the efficiency of optimization of Doppler frequency measurement.

Based on the results of the study, an optimization method for measuring the Doppler frequency of the packet taking into account fluctuations in the initial phases of its radio pulses is proposed. The accuracy of Doppler frequency measurement under the influence of both the internal noise of the radar receiver and the correlated phase fluctuations of its radio pulses is estimated. The efficiency of optimization of measuring the Doppler frequency of the packet is estimated taking into account fluctuations of the initial phases of its radio pulses by means of computer simulation. It is proved that, under the influence of phase fluctuations, the accuracy of Doppler frequency measurement can be increased due to the performed optimization from 1.86 to 6.29 times. This opens the way to improving the existing algorithms for measuring the higher time range derivatives to improve the quality of tracking complex maneuvering aerodynamic objects. This explains the importance and usefulness of the work for the radar theory.

Author Biographies

Serhii Yevseiev, Simon Kuznets Kharkiv National University of Economics

Doctor of Technical Sciences, Professor

Department of Cyber Security and Information Technology

Oleksandr Kuznietsov, Ivan Kozhedub Kharkiv National Air Force University

PhD, Associate Professor

Department of Physics and Radioelectronics

Sergey Herasimov, Ivan Kozhedub Kharkiv National Air Force University

Doctor of Technical Sciences, Professor

Department of Combat Use of Weapons of Air Defense of the Ground Forces

Stanislav Horielyshev, National Academy of National Guard of Ukraine

PhD, Associate Professor

Research Laboratory for the Provision of Service and Military Activities of the National Guard of Ukraine

Scientific and Research Center of Service and Military Activities of the National Guard of Ukraine

Anton Karlov, Ivan Kozhedub Kharkiv National Air Force University

International Military Cooperation Group

Ihor Kovalov, National Academy of National Guard of Ukraine

PhD

Department of Special Tactics Preparation

Oleksii Kolomiitsev, National Technical University «Kharkiv Polytechnic Institute»

Doctor of Technical Sciences, Senior Researcher

Department of Computer Engineering and Programming

Olena Lukashuk, Ivan Kozhedub Kharkiv National Air Force University

PhD

Department of Physics and Radioelectronics

Oleksandr Milov, Simon Kuznets Kharkiv National University of Economics

Doctor of Technical Sciences, Professor

Department of Cyber Security and Information Technology

Vitaliy Panchenko, National Academy of National Guard of Ukraine

PhD, Associate Professor

References

  1. Zohuri, B. (2020). Fundaments of Radar. Radar Energy Warfare and the Challenges of Stealth Technology, 1–110. doi: https://doi.org/10.1007/978-3-030-40619-6_1
  2. Melvin, W. L., Scheer, J. (Eds.) (2012). Principles of Modern Radar: Advanced techniques. IET. doi: https://doi.org/10.1049/sbra020e
  3. Klemm, R., Nickel, U., Gierull, C., Lombardo, P., Griffiths, H., Koch, W. (Eds.) (2017). Novel Radar Techniques and Applications Volume 1: Real Aperture Array Radar, Imaging Radar, and Passive and Multistatic Radar. IET. doi: https://doi.org/10.1049/sbra512f
  4. Herasimov, S., Roshchupkin, E., Kutsenko, V., Riazantsev, S., Nastishin, Yu. (2020). Statistical analysis of harmonic signals for testing of Electronic Devices. International Journal of Emerging Trends in Engineering Research, 8 (7), 3791–3798. doi: https://doi.org/10.30534/ijeter/2020/143872020
  5. Barton, D. K. (2012). Radar Equations for Modern Radar. Artech House, 264.
  6. Herasimov, S., Belevshchuk, Y., Ryapolov, I., Volkov, A., Borysenko, M., Tokar, O. (2020). Modeling technology of radar scattering of the fourth generation EF-2000 Typhoon multipurpose aircraft model. International Journal of Emerging Trends in Engineering Research, 8 (9), 5075–5082. doi: https://doi.org/10.30534/ijeter/2020/30892020
  7. 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 Electronics, 12 (4), 530–532.
  8. Minervin, N. N., Kuznetsov, A. L. (2013). Optimal algorithms for measuring target radial velocity and received signal arrival angle in view of phase fluctuations with arbitrary correlation function. Applied Radio Electronics, 12 (4), 514–517.
  9. Volosyuk, V. K., Gulyaev, Y. 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
  10. 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
  11. Richards, M. A. (2014). Fundamentals of Radar Signal Processing. McGraw-Hill Education.
  12. O’Neill, C. R., Arena, A. S. (2005). Time Domain Training Signals Comparison for Computational Fluid Dynamics Based Aerodynamic Identification. Journal of Aircraft, 42 (2), 421–428. doi: https://doi.org/10.2514/1.6424
  13. Singh, M., Bhoi, S. K., Khilar, P. M. (2017). Short-Range Frequency-Modulated Continuous Wave (FMCW) Radar Using Universal Software-Defined Radio Peripheral (USRP). Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, 559–565. doi: https://doi.org/10.1007/978-981-10-3376-6_60
  14. Wu, X., Tian, Z., Davidson, T., Giannakis, G. (2006). Optimal waveform design for UWB radios. IEEE Transactions on Signal Processing, 54 (6), 2009–2021. doi: https://doi.org/10.1109/tsp.2006.872556
  15. Karimi-Ghartemani, M., Iravani, M. R. (2005). Measurement of harmonics/inter-harmonics of time-varying frequencies. IEEE Transactions on Power Delivery, 20 (1), 23–31. doi: https://doi.org/10.1109/tpwrd.2004.837674
  16. Valenzuela, J., Pontt, J. (2009). Real-time interharmonics detection and measurement based on FFT algorithm. 2009 Applied Electronics, 259–264.
  17. Tian, X., Zhang, T., Zhang, Q., Xu, H., Song, Z. (2018). Pulse Compression Analysis for OFDM-Based Radar-Radio Systems. Machine Learning and Intelligent Communications, 381–390. doi: https://doi.org/10.1007/978-3-319-73447-7_42
  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. Karlov, V., Kuznietsov, O., Artemenko, A. (2018). Statement of problem of target’s radial velocity optimal estimation using initial phases correlating fluctuations of received radio pulses bursts. Zbirnyk naukovykh prats Kharkivskoho natsionalnoho universytetu Povitrianykh Syl, 3, 115–121. doi: https://doi.org/10.30748/zhups.2018.57.17
  20. 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). doi: https://doi.org/10.1109/ukrmw49653.2020.9252588
  21. Siedyshev, Yu. M., Karpenko, V. I., Atamanskyi, D. V. et. al. (2010). Radioelektronni systemy. Kharkiv: KhUPS, 418.
  22. 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
  23. Ghasemi, A., Abedi, A., Ghasemi, F. (2012). Propagation of Radar Waves. Propagation Engineering in Radio Links Design, 299–365. doi: https://doi.org/10.1007/978-1-4614-5314-7_6

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Published

2021-04-30

How to Cite

Yevseiev, S., Kuznietsov, O., Herasimov, S., Horielyshev, S., Karlov, A., Kovalov, I., Kolomiitsev, O., Lukashuk, O., Milov, O., & Panchenko, V. (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. https://doi.org/10.15587/1729-4061.2021.229221

Issue

Section

Information and controlling system