The method of selecting the optimal parameters of the probing signal when operating in high-resolution mode


Аuthors

Zyuzin A. V.1*, Zakharov A. S.2**, Perlov A. Y.2***, Timoshenko A. V.3

1. Higher Military School of Air Defense, 28, Moskovsky avenue, Yaroslavl, 150001, Russia
2. Lomonosov Moscow State University, 1, Leninskie Gory, Moscow, 119991, Russia
3. Higher Military School of Air Defense, 28, Moskovsky avenue, Yaroslavl, 150001, Russia

*e-mail: Aleksey.zyuzin@mail.ru
**e-mail: zakharov.as17@physics.msu.ru
***e-mail: laperlov@yandex.ru

Abstract

The article shows that when solving problems of high-precision tracking of spacecraft under the influence of destructive factors, the use of probing signals of a radar station (RLS) signals, as a rule, does not achieve its theoretically justified efficiency.
It is shown that the accuracy characteristics of the super-resolution mode are determined by the operating frequency band, the spectrum width of the probing signals used, the unevenness of the frequency response of the radar receiving system, as well as the requirements for probing signals. The relationship between the accuracy characteristics of the radar and destructive factors, frequency response, signal-to-noise ratio, amplitude-phase distribution, including those determining the operation of the radar in the super-resolution mode, is given. The necessity of operational consideration of radar capabilities for application of signals for operation in the mode with increased resolution is substantiated based on the results of analysis of the whole set of destructive factors: both external (real cosmic background, auroral interference, passive and active (noise and simulating interference), and internal destructive factors (thermal processes and thermal fluctuations, distortions during formation of probing signals, etc.).
To control signals in the interests of improving the quality of processing of received information, a technique based on a complex indicator has been developed in the interests of improving the quality of operation in the super-resolution mode. Due to the established connections, it is possible to operate with a large volume of data on signals while tandemly calculating information on the dynamics of destructive effects. Based on the Fokker-Planck equation, an initial-boundary value problem has been obtained for calculating the probability distribution density of the impact of destructive factors on equipment, the solution of which allows one to estimate the need to change the signal. The solution of the initial-boundary value problem of calculating the probability density of the impact of destructive factors, as well as the calculation of the risk of choosing a non-optimal signal using the example of a linear-frequency modulated signal and a Costas signal, is presented.
A demonstration experiment was conducted, step by step showing the operation of the intelligent module for finding the probability density of the impact of destructive factors and calculating the risk of choosing a non-optimal signal.
The distribution of the probability density of the impact of destructive factors for different moments in time using different types of probing signals is given. The dependence of the risk of choosing a non-optimal signal on time for a chirp signal and a Costas signal is determined.
The article presents the main provisions of a comprehensive methodology for managing signals from space monitoring radars in the super-resolution mode, a distinctive feature of which is the operational assessment of destructive factors jointly.

Keywords:

Fokker-Planck equation, radar station, destructive factors, antenna array

References

  1. Porsev V.I., Gelesev A.I., Kras'ko A.G. Vestnik Kontserna VKO «Almaz – Antei». 2019, no. 4, pp. 24-34. URL: https://doi.org/10.38013/2542-0542-2019-4-24-34
  2. Matseevich S.V., Vladko U.A., Zyuzina A.D., Mochalov M.N., Zakharov A.S. Nauchnaya vizualizatsiya, 2024, no. 16 (3), pp. 87–96. DOI: 10.26583/sv.16.3.09
  3. Chernikov A.A. Trudy MAI, 2023, no. 129. URL: https://trudymai.ru/eng/published.php?ID=173039. DOI: 10.34759/trd-2023-129-26
  4. Dement'ev A.N., Klyuev D.S., Novikov A.N., Mezhnov A.S., Piterskova Yu.A., Zakharova E.V., Dement'ev L.A. Trudy MAI, 2022, no. 124. URL: https://trudymai.ru/eng/published.php?ID=167170. DOI: 10.34759/trd-2022-124-25
  5. Patrakov S.S. Trudy MAI, 2024, no. 135. URL: https://trudymai.ru/eng/published.php?ID=179685
  6. Genov A.A., Osipov V.V., Matsykin S.V., Savilkin S.S. Trudy MAI, 2024, no. 135. URL: https://trudymai.ru/eng/published.php?ID=179693
  7. Zverev G.P., Timoshenko A.V., Perlov A.Yu. et al. Nauchno-tekhnicheskii vestnik informatsionnykh tekhnologii, mekhaniki i optiki, 2024, vol. 24, no. 3, pp. 513-519. DOI: 10.17586/2226-1494-2024-24-3-513-519
  8. Kibirnichenko A.G., Kudryashov M.Yu., Khudanov A.A. Radiotekhnicheskie i telekommunikatsionnye sistemy, 2015, no. 3 (19), pp. 26-33.
  9. Chizhov A.A. Informatsionno-upravlyayushchie sistemy, 2016, no. 1, pp. 94-98. DOI: 10.15217/issn1684-8853.2016.1.88
  10. Mironov V.A. Filonovich A.V. Vozdushno-kosmicheskie sily. Teoriya i praktika. 2020, no. 16, pp. 272-281.
  11. Stupin D.D., Perlov A.Yu., Mavrin A.V. Izvestiya YuFU. Tekhnicheskie nauki. 2018, no. 3 (197), pp. 143-155. DOI: 10.23683/2311-3103-2018-3-143-155
  12. Zyuzin A.V., Gomozov A.V., Gomozov V.I., Baturin N.G Dinamicheskaya teoriya formirovaniya slozhnykh SVCh-signalov s vysokoi skorost'yu modulyatsii: Monografiya. (Dynamic theory of formation of complex microwave signals with high modulation rate: Monograph), Yaroslavl', Izd-vo OOO «Torgovaya firma NORD», 2010, 552 p.
  13. Kremer I.Ya., Vladimirov V.I., Karpukhin V.I. Moduliruyushchie (mul'tiplikativnye) pomekhi i priem radiosignalov (Modulating (multiplicative) interference and reception of radio signals), Moscow, Sovetskoe radio, 1972, 480 p.
  14. Zakharov A.S., Perlov A.Yu., Razin'kov S.N., Temnik Ya.A. Vozdushno-kosmicheskie sily. Teoriya i praktika, 2024, no. 29, pp. 94-102.
  15. Yang S., Cheng W., Wang L., Zhao R., Ning B., Deng Q. Thermal Design of Active Phased Array Antenna for GEO Communication Satellite Based on Structure and Thermal Control Integration Method // Proceedings of the Eighth Asia International Symposium on Mechatronics. Lecture Notes in Electrical Engineering, 2022, vol. 885, Springer, Singapore. URL: https://doi.org/10.1007/978-981-19-1309-9_145
  16. Nikolaenko Yu.E., Baranyuk A.V., Reva S.A., Pis'mennyi E.N., Dubrovka F.F. Numerical simulation of the thermal and hydraulic characteristics of the liquid heat exchanger of the APAA transmitter–receiver module, Thermal Science and Engineering Progress, 2020, vol. 17, pp. 100499. URL: https://doi.org/10.1016/j.tsep.2020.100499
  17. Rabideau D.J., Galejs R.J., Willwerth F.G., McQueen D.S. An S-band digital array radar testbed, IEEE International Symposium on Phased Array Systems and Technology, Boston, MA, USA, 2003, pp. 113-118. DOI: 10.1109/PAST.2003.1256966
  18. Chae S.C., Jo H. W., Oh J.I., Kim G., Yu J.W. Coupler IntegratedMicrostrip Patch Linear Phased Array for Self-Calibration, IEEE Antennas and Wireless Propagation Letters, 2019, vol. 19, no. 9, pp. 1615-1619. DOI: 10.1109/lawp.2020.3011862
  19. Zakharov A.S., Perlov A.Y., Timoshenko A.V., Sazonov V.V. Model for calculating changes in the radiation pattern and amplitude-phase distribution in the subarray of a large-aperture apaa based on a modified thermal conductivity equation, 2024 Systems of Signals Generating and Processing in the Field of on Board Communications, IEEE, 2024, pp. 1-4. DOI: 10.1109/ieeeconf60226.2024.10496770
  20. Wang Ya., Wang C. Effect of Temperature on Electromagnetic Performance of Active Phased Array Antenna, Electronics, 2020, no. 9, pp. 1211–1214. DOI: 10.3390/electronics9081211
  21. Xueming J., Manqing W. Jianmei T. Experimental study on a digital T/R module for phased array radar, CIE International Conference on Radar Proceedings, 2001, pp. 898–902. DOI: 10.1109/ICR.2001.984856
  22. Misnik V.P., Kuleshov Yu.P., Poluyan A.P. Patent RU 2 535 661 C1, 20.12.2014.
  23. Poluyan A.P. Patent RU 2 674 432 C1, 10.12.2018.
  24. Orlov Yu.N., Fedorov S.L. Trudy Moskovskogo fiziko-tekhnicheskogo instituta, 2016, vol. 8, no. 2, pp. 126-133.
  25. Orlov Yu.N., Bosov A.D. Trudy Moskovskogo fiziko-tekhnicheskogo instituta, 2012, vol. 4, no. 4, pp. 134-140.
  26. Zakharov S.M., Mitrokhin M.A., Klimov A.E. Izvestiya vysshikh uchebnykh zavedenii. Povolzhskii region. Tekhnicheskie nauki. 2015, no. 2 (34), pp. 36–44.
  27. Kubarev A.V., Lapsar' A.P., Asyu.tikov A.A. Voprosy kiberbezopasnosti, 2020, no. 6 (40), pp. 48-56. DOI: 10.681/2311-3456-2020-06-48-56
  28. Markowitz H.M. Mean Variance Analysis in Portfolio Choice and Capital Markets, 1990, Basil, Blackwell, Oxford, UK.
  29. Zakharov A.S., Perlov A.Y., Timoshenko A.V., Bulatov M.F., Tyutin I.V. Increasing the accuracy characteristics of the space monitoring system based on intelligent calibration of the APAA radio information system, 2024 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO), 2024, Vyborg, Russia. DOI: 10.1109/synchroinfo61835.2024.10617593
  30. Manuk'yan A.A. Radiotekhnika i elektronika, 2015, vol. 60, no. 3, pp. 282. DOI: 10.7868/S0033849414120134


Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

 Вход