Classification of synthetic aperture radars

D.V. Murzin; A.A. Ignatenko; Yu.Yu. Korobkov; I.S. Petrov; V.Yu. Pozdyshev; I.V. Shmeleva

doi:10.18127/j00338486-202610-03

Classification of synthetic aperture radars

D.V. Murzin¹, A.A. Ignatenko², Yu.Yu. Korobkov³, I.S. Petrov⁴, V.Yu. Pozdyshev⁵, I.V. Shmeleva⁶

review article UDC 621.396.96: 621.391.26 Pages: 33-45 doi.org/10.18127/j00338486-202610-03

^1,2,3,4,5 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)
⁶ JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia); Bauman Moscow State Technical University (Moscow, Russia)

Keywords: Synthetic aperture radar inverse aperture synthesis algorithm for synthesis of radar imaging formation digital signal processing polarization signal processing coherent signal processing consistent filtering doppler frequency indication of moving targets

Abstract

Despite the widespread use of SAR, there is no single and comprehensive classification in the scientific literature. The rapid development of technologies in this area requires a revision and systematization of approaches to the classification of SAR. The lack of an exhaustive classification of SAR leads to difficulties in choosing the direction of development of research and development for solving applied problems, including monitoring of the Earth, mapping.

Systematize the types and modes of operation of the SAR, signal and image processing methods in order to synthesize disparate data from various sources to form a generalized SAR classification structure.

The results of a review scientific article with generalized and structured data on various types and modes of SAR operation, signal and image processing methods are presented, on the basis of which a complete generalized classification of SAR is formed.

The formed structure of the complete generalized classification of SAR allows developers to shorten the design time for aerospace monitoring systems and the development of software systems for radar systems, contributes to the systematization of research and development in the field of radar, and also has a high methodological potential for integration into the educational process in the preparation of scientific and pedagogical personnel of the highest qualifications of graduate students and students of specialized specialties.

Received: 03.09.2026
Approved after review: 10.09.2026
Accepted: 30.09.2026

How to cite

Мурзин Д.В., Игнатенко А.А., Коробков Ю.Ю., Петров И.С., Поздышев В.Ю., Шмелева И.В. Классификация радиолокаторов с синтезированной апертурой // Радиотехника. 2026. Т. 90. № 10. С. 33−45. DOI: https://doi.org/10.18127/j00338486-202610-03

References

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[3] Chen V.C., Martorella M. Inverse Synthetic Aperture Radar Imaging: Principles, Algorithms and Applications. Edison. NJ. SciTech Publishing. 2014. 289 p.

[4] Chernyak V.S. Mnogopozicionnaya radiolokaciya. M.: Radio i svyaz'. 1993. 416 s. (in Russian).

[5] Botov M.I., Vyahirev V.A. Osnovy teorii radiolokacionnyh sistem i kompleksov. Pod obshch. red. M.I. Botova. Krasnoyarsk: SFU. 2013. 530 s. (in Russian).

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[16] Ian G. Gumming, Frank Hay-chee Wong. Digital processing of synthetic aperture radar data: algorithms and implementation. Artech House. 2005. 625 p.

[17] Moritz Kahlert, Tai Fei, Claas Tebruegge, Markus Gardill. Range migration compensation for a PMCW automotive radar system. 2024 21-st Euroupean Radar Conference (EuRAD). Paris. France. 2024. Р. 196−199.

[18] Monakov A.A. Universal'nyj algoritm avtofokusirovki radiolokacionnyh izobrazhenij. Izvestiya vuzov Rossii. Ser. Radioelektronika. 2021. T. 24. № 1. S. 22–23 (in Russian).

[19] Nevzorov V.N., Savochkin P.V., Syomin S.Yu., Nikitin R.G. Ustranenie fazovyh oshibok na elementah antennoj reshetki korotkovolnovogo diapazona za schet kompensacii nabega faz v fidere. Zhurnal radioelektroniki. 2017. № 8. S. 8 (in Russian).

[20] Akimov V.P., Glybovskij S.B., Shchesnyak S.S. Korrekciya fazovyh oshibok parabolicheskogo zerkala s pomoshch'yu vtorichnogo setchatogo reflektora. Radiotekhnika, antenny, SVCh-ustrojstva. 2012. № 4. S. 45–50 (in Russian).

[21] Tatuzov A.L. Nejronnye seti v zadachah radiolokacii. M.: Radiotekhnika. 2009 (in Russian).

[22] Zaharova O.I., Doronina A.V. Nejrosetevye algoritmy i ih vidy. Analiz sushchestvuyushchih nejrosetevyh algoritmov. Rol' matematiki. Nauchnyj aspekt. 2023. T. 18. № 6. S. 2261−2267 (in Russian).

[23] Sacyuk A.V., Volodarec N.V. Gibridnye algoritmy komp'yuternogo zreniya dlya precizionnogo avtonomnogo upravleniya BPLA. M.: INFRA. 2026. 178 s. (in Russian).

[24] Dorosinskij L.G., Vinogradova N.S., Ivanov O.Yu. Obrabotka radiolokacionnyh izobrazhenij: Monografiya. M.: ID Akademii Estestvoznaniya. 2021. 334 s. (in Russian).

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[27] Verba V.S., Gavrilov K.Yu., Il'chuk A.R., Tatarskij B.G., Filatov A.A. Radiolokaciya dlya vsekh. Pod red. V.S. Verby. M.: Tekhnosfera. 2020. 504 s. (in Russian).

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[31] Sergienko A.B. Cifrovaya obrabotka signalov. SPb: Piter. 2002. 608 s. (in Russian).

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[33] Osipov M.L. Sverhshirokopolosnaya radiolokaciya. Radiotekhnika. 1995. T. 61. № 3. S. 3−6 (in Russian).

[34] Astanin L.Yu., Kostylev A.A. Osnovy sverhshirokopolosnyh radiolokacionnyh izmerenij. M.: Radio i svyaz'. 1989. 192 s. (in Russian).

[35] Gavrilov K.Yu., Kamenskij I.V., Kirdyashkin V.V., Linnikov O.N. Modelirovanie i obrabotka radiolokacionnyh signalov v Matlab: Uchebnoe posobie. Pod red. K.Yu. Gavrilova. M.: Radiotekhnika. 2020. 246 s. (in Russian).

[36] Antipov V.N., Goryainov V.T., Kulin A.N., Mansurov V.V., Ohonskij A.G., Sazonov N.A., Titov M.P., Tolstov E.F., Shapovalov A.V. Radiolokacionnye stancii s cifrovym sintezirovaniem apertury antenny. Pod red. V.T. Goryainova. M.: Radio i svyaz'. 1988. 304 s. (in Russian).

[37] Shimkin P.E., Baskakov A.I. Modelirovanie algoritmov obrabotki signalov dvuhprohodnogo aviacionnogo interferometricheskogo RSA. Zhurnal radioelektroniki. 2015. № 11. S. 19 (in Russian).

[38] Kobernichenko V.G., Sosnovskij A.V. Kosmicheskie radiolokacionnye sistemy s sintezirovannoj aperturoj antenny. Materialy Molo-dezhnoj shkoly-konferencii «Problemy distancionnogo zondirovaniya, rasprostraneniya i difrakcii radiovoln». Murom. 2022. S. 5–20 (in Russian).

[39] Gianfranco Fornaro. Tomographic SAR. National Research Council (CNR). Institute for Electromagnetic Sensing of the Environment (IREA) Via Diocleziano. 328 р.

[40] Richard Bambler, Phillips Hartl. Synthetic aperture radar interferometry. Environmental Science, Engineering, Physics, Inverse Problems 14. 1998. p. 54.

[41] Fornaro G., Franceschetti G. Synthetic aperture radar processing. Ch. IV. Interferometry SAR. CRC-PRESS. Boca Raton. Marzo. 1999.

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