Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2021. №12
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DOI: https://doi.org/10.30898/1684-1719.2021.12.3

UDC: 621.396.96

 

angular superresolution in airborne radar systems

 

A. R. Ilchuk1, Yu. D. Kargashin1, V. I. Merkulov2, V. S. Chernov2

 

1 JSC «RPC «Istok» named after Shokin", 141190, Fryazino, Vokzalnaya st., 2а

2 JSC «Vega Radio Engineering Corporation», 121170, Moscow, Kutuzovsky ave., 34

 

The paper was received December 18, 2021

 

Abstract. In the practical application of aircraft, situations are possible when in the on-board radar system (onboard radar) it is not possible to resolve the signals of radar targets in the channels for measuring range, velocity and angular coordinates. In these situations, it is expedient to use superresolution angular estimation procedures in the radar. There are various methods and algorithms for angular estimation with superresolution, each of which has its own advantages and disadvantages. At the same time, in the available scientific and technical literature there is no information on the superresolution angular estimation algorithms used in the radar, the knowledge of which is necessary in the design of promising radar. The article systematizes and analyzes methods and algorithms for angular estimation with superresolution. A classification of methods of angular estimation with superresolution is given. Generalized information about known one-dimensional and two-dimensional methods and algorithms of angular estimation is presented. The algorithms proposed for use in planar antenna arrays (ARs), concentric annular antenna arrays, ring antenna arrays, circular four-quadrant ARs, planar ARs with a total output signal are considered. It is noted that among the features of the construction of an on-board radar is the reduction in the total number of information processing channels, achieved by combining antenna elements into subarrays, the output signals of which are used to estimate the angular coordinates of radiation sources. The specificity of such antenna arrays is that the antenna subarrays have directional patterns that are narrower than those of weakly directional antenna elements. In addition, the distance between antenna modules can significantly exceed the distance between antenna elements in a conventional antenna array and, at the same time, significantly exceed the wavelength size. To determine the possibilities of practical application of the algorithms of angular two-dimensional estimation with superresolution in an on-board radar with a modular AA, considered in the article, special studies are required.

Key words: superresolution angular estimation, spectral methods, parametric methods, airborne radar system, antenna array, antenna element, spatial correlation matrix, subarray.

References

1.     Merkulov V.I., Drogalin V.V., Chernov V.S. and others. Zashchita radiolokatsionnykh sistem ot pomekh. Sostoyanie i tendentsii razvitiya [Protection of radar systems from interference. State and development trends]. Edited by A.I. Kanashchenkov and V.I. Merkulov. Moscow, Radiotekhnika Publ. 2003. 416 p. (In Russian)

2.     Drogalin V.V., Merkulov V.I., Chernov V.S. and others. Algorithms for estimating the angular coordinates of radiation sources based on spectral analysis methods. Zarubezhnaya radioehlektronika [Foreign radio electronics]. 1998. №2. P.3‑17. (In Russian)

3.     Korobkov M.A., Petrov A.S. Methods and algorithms for bearing radio sources. Ehlektromagnitnye volny i ehlektronnye sistemy [Electromagnetic Waves and Electronic Systems]. 2015. Vol.20. №4. P.3‑32. (In Russian)

4.     Petrov A.S., Shauehrman A.K. Spectral methods for estimating the direction of signal sources in adaptive antenna arrays. Vestnik SibGUTI [The Herald of SibSUTIS]. 2011. №2. P.53‑62. (In Russian)

5.     Kosyakov V.M., Sviridov M.A. Comparative evaluation of spectral analysis methods based on a set of performance indicators. Ehlektromagnitnye volny i ehlektronnye sistemy [Electromagnetic Waves and Electronic Systems]. 2013. Vol.18. №4. P.23‑27. (In Russian)

6.     Sychev M.I. Estimation of the number of closely located radiation sources from a spatiotemporal sample. Radiotekhnika i ehlektronika [Radio Engineering and Electronics]. 1992. Vol.37. №10. P.1807‑1815. (In Russian)

7.     Gabriehl'yan D.D., Lysenko A.V. Features of the formation of a direction-finding relief by a flat antenna array using super-resolution methods. Uspekhi sovremennoi radioehlektroniki [Achievements of Modern Radioelectronics]. 2013. Vol.67. №8. P.88‑93. (In Russian)

8.     Sendar O.A. High-Resolution-of-Arrival Estimation via Concentric Circular Arrays. ISRN Signal Processing. 2013. Vol.2013(3). Р.1‑8.

9.     Greshilov P.A., Lebedev A.P., Plokhuta P.A. Multi-signal direction finding of radio sources at the same frequency as an incorrect task. Uspekhi sovremennoi radioehlektroniki [Achievements of Modern Radioelectronics]. 2008. №3. P.30‑46. (In Russian)

10. Safonova A.V. Efficiency of algorithms for estimating the angular coordinates of a radio signal source with various methods of processing input implementations. Radiotekhnicheskie i telekommunikatsionnye sistemy [Radio and telecommunication systems]. 2015. №2. P.54‑60. (In Russian)

11. Nechaev Yu.B., Makarov E.S. Improving the accuracy of direction finding when using super-resolution processing algorithms. Vestnik Voronezhskogo gosudarstvennogo tekhnicheskogo universiteta [The Herald of VGTU]. 2008. Vol.4. №4. P.59‑62. (In Russian)

12. Akopyan I.G., Veksin S.I., Chistopolov G.V. Comparative evaluation of super-resolution methods used in radar homing heads. Proceedings of the Conference «Aviatsionnyye sistemy v XXI veke» [Aviation systems in the XXI century]. Moscow, GosNIIAS Publ. 2006. P.31‑44. (In Russian)

13. Sergeev E.B., Sharoborov A.D., Lipkin L.M., Shadrin V.D. Investigation of the effectiveness of the application of the space-time estimation algorithm (Prony) when aiming missiles with an active radar homing head at a low-flying target and a target that poses a coherent interference. Proceedings of the Conference «Aviatsionnyye sistemy v XXI veke» [Aviation systems in the XXI century]. Moscow, GosNIIAS Publ. 2006. P.210215. (In Russian)

14. Sychev M.I. Estimation of the angular coordinates of closely located radiation sources from a spatiotemporal sample. Radioehlektronika [Radio Electronics]. 1991. №5. P.33‑39. (In Russian)

15. Sychev M.I. Spatio-temporal estimation of angular coordinates of closely located angular coordinates of radiation sources. Radiotekhnika i ehlektronika [Radio Engineering and Electronics]. 1990. Vol.35. №7. P.1504‑1513. (In Russian)

16. Kartashov V.M., Koryttsev I.V., Oleinikov V.N. and others. Algorithms for direction finding of unmanned aerial vehicles based on their acoustic radiation. Radiotekhnika. Khar'kovskii natsional'nyi universitet radioehlektroniki [Radioengineering. Kharkiv National University of Radio Electronics]. 2019. Iss.196. P.22‑31. (In Russian)

17. Lagovskii B.A., Samokhin A.B., Samokhina A.S. Formation of images of radar targets with super-resolution by algebraic methods. Uspekhi sovremennoi radioehlektroniki [Achievements of Modern Radioelectronics]. 2014. №8. P.23‑27. (In Russian)

18. Lagovskii B.A., Chikina A.G. Regression methods for obtaining a superresolution for a group target. Uspekhi sovremennoi radioehlektroniki [Achievements of Modern Radioelectronics]. 2020. Vol.74. №1. P.69‑76. (In Russian)

19. Lagovskii B.A., Shumov I.Yu. Reconstruction of two-dimensional images of radiation sources with superresolution. Antenny [Antennas]. 2013. №4. P.60‑65.

20. Lagovskii B.A. Image recovery of a group target by a digital antenna array. Antenny [Antennas]. 2011. №2(165). P.40‑46. (In Russian)

21. Chistyakov V.A. Comparative analysis of the resolution of MVDR and MUSIC superresolution methods. Molodoi uchenyi [Young scientist]. 2020. №16(306). P.165‑168. (In Russian)

22. Sukhov I.A., Akimov V.P. Application of "superresolution" algorithms to a directional antenna array of directional elements. Nauchno tekhnicheskie vedomosti SPbGPU. Ser.: Informatika. Telekommunikatsiya. Upravlenie [Scientific and Technical bulletin of SPbGPU. Ser.: Informatics. Telecommunications. Management]. 2013. №4(175). P.41‑46. (In Russian)

23. Shevchenko M.E., Malyshev V.N., Faizullina D.N. Bearing of radio sources in a wide frequency band using concentric antenna elements. Izvestiya vuzov Rossii. Radioelektronika [Journal of the Russian Universities. Radioelectronics]. 2018. №6. P.30‑40. (In Russian)

24. Nechaev Yu.B., Peshkov I.V., Aal'muttar Atkheer Yu.O., Al' Khafadzhi Sarmand K.D. Estimation of the probability of false peaks of annular and concentric antenna arrays in radio direction finding with superresolution. Vestnik VGU. Seriya: Sistemnyi analiz i informatsionnye tekhnologii [Proceedings of VSU, Series: Systems analysis and information technologies]. 2016. №2. P.16‑23. (In Russian)

25. Coates A., Ng A.Y. Learning Feature Representations with K-Means. Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science. 2012. Vol.7700. P.561‑580.

26. Sychev M.I. Estimation of the number and angular coordinates of closely located radiation sources from a spatio-temporal sample. Radiotekhnika [Radioengineering]. 2009. №12. P.64‑73. (In Russian)

27. Sychev M.I. Estimation of the number and angular coordinates of closely located radiation sources by sampling at the output of an antenna array with an irregular structure. Informatsionno-izmeritel'nye i upravlyayushchie ustroistva [Information-measuring and Control Systems]. 2011. №2. P.21‑29. (In Russian)

28. Korobkov M.A. Combined APP/Capon algorithm for bearing multiple targets using a homogeneous ring antenna array. Radiotekhnicheskie i telekommunikatsionnye sistemy [Radio and telecommunication systems]. 2015. №2. P.28‑33. (In Russian)

29. Porsev V.I., Gelesev A.I., Kras'ko A.G. Angular superresolution using "virtual" antenna arrays. Vestnik Kontserna VKO «Almaz‑Antei» [Vestnik Koncerna VKO «Almaz‑Antey»]. 2019. №4. P.24‑34. (In Russian)

30. Lagovskii B.A. Angular superresolution in two-dimensional radar problems. Radiotekhnika i ehlektronika [Radio Engineering and Electronics]. 2021. №9. P.853‑858. (In Russian)

31. Marpl ml. S.L. Tsifrovoi spektral'nyi analiz i ego prilozheniya: Per. s angl. [Digital spectral analysis with applications]. Edited by M.S. Ryzhik. Moscow, Mir Publ. 1980. 265 p. (In Russian)

For citation:

Ilchuk A.R., Kargashin Yu.D., Merkulov V.I., Chernov V.S. Angular superresolution in airborne radar systems. Zhurnal radioelektroniki [Journal of Radio Electronics] [online]. 2021. №12. https://doi.org/10.30898/1684-1719.2021.12.3 (In Russian)