A.S. Zakharov1, A.V. Timoshenko2, D.A. Razumov3, S.N. Marfin4

1,2 Lomonosov Moscow State University (Moscow, Russia)

3,4 Scientific and production association of long-range radar named after academician A.L. Mints (Moscow, Russia)

1 zakharov.as17@physics.msu.ru, 2 u567ku78@gmail.com, 3 dmitryrazumov99@gmail.com, 4 smarfin@npodr.ru

The impact of destructive factors both on the amplitude-phase-frequency response (APFR) of the transmitting path and on the amplitude-phase distribution (APD) at the antenna opening of the space monitoring radar station (SMR) significantly reduces its accuracy characteristics. The existing models of accuracy characteristics do not fully allow to take into account the destructive influence of stochastic changes in amplitude and phase, which does not allow to develop an adaptive algorithm for prompt and accurate compensation of de- destructive factors. To solve the problem, it is necessary to formalise the computational-analytical model. The simulation modelling of antenna and accuracy characteristics of the antenna array has shown the necessity to take into account stochastic changes in APD and APFR under the influence of destructive factors. On the basis of the obtained dependences and values of accuracy characteristics it is possible to form the main provisions of the compensation method based on the input of corrections in the channels by amplitude and phase according to the results of the analysis of accuracy characteristics.

Zakharov A.S., Timoshenko A.V., Razumov D.A., Marfin S.N. Calculation-analytical model of radar station accuracy characteristics under stochastic changes of amplitude and phase. Electromagnetic waves and electronic systems. 2025. V. 30. № 4. P. 67−75. DOI: https://doi.org/10.18127/j15604128-202504-06 (in Russian)

1. Porsev V.I., Gelesev A.I., Krasko A.G. Angular super-resolution of signals using "virtual" antenna arrays. Bulletin of VKO Concern Almaz-Antey. 2019. № 4(31). Р. 24–34. (in Russian)
2. Zakharov A.S., Shamanov V.V., Pozdyshev V.Yu., Sokolov К.С., Perlov A.Yu. Parametric optimization of the process of engineering a space monitoring radar based on an ontological analysis of functional characteristics for various technical solutions. Radiotekhnika. 2024. V. 88. № 10. P. 110−117. DOI 10.18127/j00338486-202410-12. (In Russian)
3. Manuk'yan A.A. Construction of 2D radio images of objects using nonequidistant encoded frequency-time pulse series. Journal of Communications Technology and Electronics. 2015. V. 60. № 3. P. 266–279. DOI 10.1134/S1064226914120134.
4. Barker L., Drakakis K., Rickard S. On the Complexity of the Verification of the Costas Property. Proceedings of the IEEE. 2009. V. 97. № 3. P. 586–593. DOI 10.1109/JPROC.2008.2011947.
5. Sharma A.K., Suraj N., Rokade M.V., Nade D., Ghodpage R.N., Bhonsle R.V. Study of variations in the absorption of cosmic radio noise using Riometer at Casey station. Library & Information Science Research. 2012. V. 3. № 2. Р. 149–155.
6. Stober G., Jacobi C., Keuer D. Distortion of meteor count rates due to cosmic radio noise and atmospheric particularities. Advances in Radio Science. 2010. V. 8. P. 237–241. DOI 10.5194/ars-8-237-2010.
7. Papikov E.A., Timoshenko A.V., Tychkov A.Yu., Savchuk A.M., Zakharov A.S. Spatial and temporal characteristics of synthetic aperture radar signals taking into account reflections from targets and local objects. News of higher educational institutions. Aviation equipment. 2025. № 1. P. 175–184. (in Russian)
8. Zolotarev I.D., Miller Ya.E. Methodology for Investigation of the Factors for Georadar Signals Influencing the Directional Pattern of Synthetic Aperture Radar. Geoscience and Remote Sensing. 2009. DOI 10.5772/8313.
9. Matseevich S.V., Vladko U.A., Zyuzina A.D., Mochalov M.N., Zakharov A.S. Application of the cognitive load indicator of a graphic element to justify the requirements for a long-range discrimination radar visualization system. Scientific visualization. 2024. V. 16. № 3. P. 87–96. DOI 10.26583/sv.16.3.09. (in Russian)
10. Timoshenko A.V., Razin'kov S.N., Savchuk A.M., Perlov A.Yu., Zakharov A.S. Ensuring Flight Safety in Aviation through Damage Risk Management in the Aviation System. Russian Aeronautics. 2024. V. 67. № 4. P. 741–748. DOI 10.3103/S1068799824040019.
11. Babkin Yu.V., Zverev G.P., Timoshenko A.V., Perlov A.Yu., Bulatov M.F. Management of space surveillance radar temporal resource on fuzzy set theory. Scientific and Technical Bulletin of Information Technologies, Mechanics and Optics. 2024. V. 24. № 3. P. 513–519. DOI 10.17586/2226-1494-2024-24-3-513-519. (in Russian)
12. Razinkov S.N., Perlov A.Yu., Zakharov A.S., Temnik Ya.A. Operational calibration of active phased antenna arrays of ground-based radar stations. Aerospace forces. Theory and practice. 2024. № 29. P. 94–102. (in Russian)
13. 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. V. 885. DOI 10.1007/978-981-19-1309-9_145.
14. Perlov A.Yu., Timoshenko A.V., Zager I.B., Ermakov A.V. Modeling of thermal processes in multichannel radars in heat-stressed operation modes. Systems of Signal Synchronization, Generating and Processing in Telecommunications. 2021. P. 9488415. DOI 10.1109/SYNCHROINFO51390.2021.9488415.
15. Zakharov A.S., Matseevich S.V., Shafir R.S. Hierarchical thermal model for assessing the functional characteristics of radioelectronic complexes at the stages of design and manufacturing. Scientific Bulletin of the Russian military-industrial complex. 2024. № 2. P. 81–87. (in Russian)
16. Timoshenko A.V., Perlov A.Yu., Zaharov A.S., 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. Systems of Signals Generating and Processing in the Field of on Board Communications. 2024. P. 1-4. DOI 10.1109/IEEECONF60226.2024.10496770.
17. Wang Ya., Wang C., Lian P., Xue S., Liu J., Gao W., Shi Yu., Wang Zh., Yu K., Peng X., Du B., Xiao S. Effect of Temperature on Electromagnetic Performance of Active Phased Array Antenna. Electronics. 2020. V. 9. № 8. P. 1211. DOI 10.3390/electronics9081211.
18. Guryeva P.V., Konov K.I., Bolovin A.A., Matveeva M.V. Modeling of direction-finding characteristics taking into account errors of amplitude-phase distribution. Innovation management: theory, methodology, practice. 2016. № 16. P. 146–150. (in Russian)
19. Karpov O.A., Savostyanov V.Yu., Tsvetkov O.E. Adaptive compensation of amplitude and phase distortions introduced by SAR equipment into the received signal.Radio engineering and telecommunication systems. 2022. № 2(46). P. 42–48. DOI 10.24412/2221-2574-2022-2-42-49. (in Russian)
20. Wang J., Liu X. SAR Minimum-Entropy Autofocus Using an Adaptive-Order Polynomial Model. IEEE Geoscience and Remote Sensing Letters. 2006. V. 3. № 4. P. 512–516. DOI 10.1109/LGRS.2006.878446.
21. Shishov Yu.A., Shaldaev S.E., Sergeev D.V., Vakhlov M.G., Podoltsev V.V. Correction of amplitude-phase field distribution at aperture of deformed large-aperture fixed phased array. The radio industry. 2018. № 3. P. 55–63. (in Russian)
22. Zyuzin A.V., Gomozov A.V., Gomozov V.I., Baturin N.G. Dynamic theory of formation of complex microwave signals with high modulation rate: monograph. Yaroslavl: Trading company NORD. 2010. 552 p. (in Russian)
23. Perlov A.Yu., Zakharov A.S., Timoshenko A.V., Bulatov M.F. A model for estimating distortions in the amplitude-frequency response of a receiving system in the super-resolution mode. High-tech technologies in space exploration of the Earth. 2024. V. 16. № 5. P. 26–34. DOI 10.36724/2409-5419-2024-16-5-26-34. (in Russian)
24. Zyuzin A.V., Zakharov A.S., Perlov A.Yu., Timoshenko A.V. The method of selecting the optimal parameters of the probing signal when operating in high-resolution mode. Proceedings of MAI. 2024. № 138. P. 25. (in Russian)