Journal of Radio Electronics. eISSN 1684-1719. 2026. ¹6

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DOI: https://doi.org/10.30898/1684-1719.2026.6.14

 

 

 

Adaptive Selection of the Sounding Direction
in Acoustic Systems Based on Super-Resolution Direction
Finding of Interference Sources.
Part 1

 

N.P. Krasnenko, I.A. Rybakov

 

Institute of Monitoring of Climatic and Ecological Systems,
Siberian Branch of the Russian Academy of Sciences,
634055, Russia, Tomsk, Akademichesky Ave., 10/3

 

The paper was received May 26, 2026.

 

Abstract. This paper addresses the problem of improving the interference immunity of acoustic radars (sodars) equipped with an adaptive antenna array (AAA) through the selection of optimal atmospheric sounding directions under complex acoustic interference conditions. It is shown that, unlike conventional radar systems, the sounding direction in sodars is not strictly fixed due to signal scattering by distributed atmospheric inhomogeneities, which enables additional minimization of the received interference power.An adaptive algorithm for selecting the optimal transmission angle is proposed based on the analysis of the spatial signal structure and localization of active interference sources. To improve the accuracy of estimating the angular coordinates of interference sources, super-resolution techniques were employed, namely the Capon minimum variance method and the Multiple Signal Classification (MUSIC) algorithm. Algorithms for estimating the directions of arrival of broadband acoustic interference are described using spectral decomposition into frequency subbands followed by averaging of the spatial spectra.The results of numerical simulations are presented for a six-element linear antenna array with parameters corresponding to a real acoustic radar system. Simulations were carried out for two broadband interference signals (aircraft engine noise and the acoustic noise of a bird flock) at various interference-to-noise ratios ranging from 10 to 50 dB and angular separations from 3° to 20°. Based on the estimated angular coordinates of the interference sources, adaptive reconfiguration of the antenna array radiation pattern is performed, with the main lobe steered toward the region characterized by the minimum interference level. The obtained results may be used to improve the robustness of acoustic detection and atmospheric monitoring systems operating in complex interference environments.

Key words: sodar, adaptive antenna array, angular coordinates, interference, direction finding.

Financing: This work was carried out within the framework of the state assignment of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of the Russian Academy of Sciences (IMCES SB RAS), and with financial support from the Ministry of Science and Higher Education of the Russian Federation under Project No. FEWM-2023-0014 (TUSUR).

Corresponding author: Rybakov Ivan Andreevich, vaniarybakov98@gmail.com

References

1. Krasnenko N.P. Akusticheskoe zondirovanie atmosfernogo pogranichnogo sloya. - Tomsk: Vodolei, 2001. - 278 s.

2. Bradley S. Atmospheric acoustic remote sensing: principles and applications. – CRC press, 2007.

3. Makarenko S. I. Protivodeistvie bespilotnym letatel'nym apparatam. Monografiya //SPt: Naukoemkie tekhnologii. – 2020.

4. KRASNENKO N. P., RYBAKOV I. A., RAKOV A. S. AKUSTICHESKOE OBNARUZHENIE NIZKOLETYASHCHIKh DRONOV //AKUSTICHESKII ZHURNAL. – 2024. – T. 70. – ¹. S5. – S. 21. - https://doi.org/10.34756/GEOS.2024.17.38817

5. Crescenti G. H. Degradation of Doppler Sodar Performance Due to Noise //NASA. – 1997. – ¹. 19980005391.

6. Van T. et al. Detection estimation and modulation theory //Detection, Estimation, and Filtering Theory. – Wiley & Sons, Inc., 2013.

7. Ratynskii M. V. Adaptatsiya i sverkhrazreshenie v antennykh reshetkakh. – Radio i svyaz', 2003.

8. Tuncer T. E., Friedlander B. (ed.). Classical and modern direction-of-arrival estimation. – Academic Press, 2009.

9. Geibriel U. F. Spektral'nyi analiz i metody sverkhrazresheniya s ispol'zovaniem adaptivnykh reshetok //TIIEHR. – 1980. – T. 68. – ¹. 6. – S. 19.

10. Verba V.S., Merkulov V.I., Chernov V.S. Metody i algoritmy uglovogo otsenivaniya so sverkhrazresheniem dlya aviatsionnykh bortovykh radiolokatsionnykh sistem // Uspekhi sovremennoi radioehlektroniki. - 2021. - T. 75, N 11. - S. 27-42. - https://doi.org/10.18127/j20700784-202111-04

11. Il'chuk A. R. i dr. Uglovoe sverkhrazreshenie v bortovykh radiolokatsionnykh sistemakh vozdushnogo bazirovaniya //Zhurnal radioehlektroniki. – 2021. – T. 12. - https://doi.org/10.30898/1684-1719.2021.12.3

12. Abdulkareem A., Alnajjar S. H. Improvement of DOA estimation utilizing super resolution and iterative super resolution MUSIC algorithms //AIP Conference Proceedings. – AIP Publishing LLC, 2025. – Ò. 3211. – ¹. 1. – Ñ. 070010. - https://doi.org/10.1063/5.0257870

13. Malyshkin G. S., Sidel'nikov G. B. Optimal'nye i adaptivnye metody obrabotki gidroakusticheskikh signalov (obzor) //Akusticheskii zhurnal. – 2014. – T. 60. – ¹. 5. – S. 526-526. - https://doi.org/10.7868/S0320791914050098

14. Malyshkin G. S., Timofeev V. N., Turkalova O. I. Razreshenie i otsenka parametrov slabykh signalov pri nalichii meshayushchikh istochnikov v zone Frenelya s pomoshch'yu sovremennykh adaptivnykh algoritmov //Akusticheskii zhurnal. – 2013. – T. 59. – ¹. 4. – S. 520-520. - https://doi.org/10.7868/S0320791913040114

15. Sazontov A.G., Smirnov I.P. Lokalizatsiya istochnika v sluchaino-neodnorodnom kanale s ispol'zovaniem mnogorangovogo algoritma Keipona // Akusticheskii zhurnal. - 2021. - T. 67, N 6. - S. 659-667. - https://doi.org/10.31857/S0320791921060101

16. Chistyakov V. A. Sistema monitoringa uglovykh koordinat istochnikov radioizlucheniya dlya kosmicheskikh apparatov sputnikovoi svyazi //Trudy MAI. – 2019. – ¹. 109. – S. 15. - https://doi.org/10.34759/trd-2019-109-15

17. Shmonin O.A., Kuptsov V.V., Trushkov S.N. [i dr.] Primenenie sverkhrazreshayushchego metoda MUSIC v fazirovannykh antennykh reshetkakh dlya pelengatsii istochnikov sluchainykh signalov // Radiotekhnika. - 2024. - T. 88, N 12. - S. 89-102. - https://doi.org/10.18127/j00338486-202412-08

18. Artyukhin I. V. i dr. Algoritm otsenki uglov prikhoda signalov v sisteme raspredelennykh nekogerentnykh avtomobil'nykh radarov //Zhurnal radioehlektroniki. – 2023. – T. 4. – S. 1-20. - https://doi.org/10.30898/1684-1719.2023.4.2

19. Xu S., Wang J., Yarovoy A. Super resolution DOA for FMCW automotive radar imaging //2018 IEEE Conference on Antenna Measurements & Applications (CAMA). – IEEE, 2018. – Ñ. 1-4. - https://doi.org/10.1109/CAMA.2018.8530609.

20. Capon J. High-resolution frequency-wavenumber spectrum analysis //Proceedings of the IEEE. – 1969. – Ò. 57. – ¹. 8. – Ñ. 1408-1418. - https://doi.org/10.1109/PROC.1969.7278

21. Harris D. B., Kvaerna T. Superresolution with seismic arrays using empirical matched field processing //Geophysical Journal International. – 2010. – Ò. 182. – ¹. 3. – Ñ. 1455-1477. - https://doi.org/10.1111/j.1365-246X.2010.04684.x

22. Shevchenko M. E. i dr. Interval'noe i tochechnoe pelengovanie istochnikov radioizlucheniya pri shirokopolosnom radiomonitoringe //Izvestiya vysshikh uchebnykh zavedenii Rossii. Radioehlektronika. – 2020. – T. 23. – ¹. 6. – S. 28-42. - https://doi.org/10.32603/1993-8985-2020-23-6-28-42

23. Davydenko A. S., Popov E. N., Tsikin I. A. Pelengatsiya vysokodinamichnykh ob"ektov na osnove metoda MUSIC pri ispol'zovanii antennykh reshetok s malym chislom ehlementov //Radiotekhnika. – 2020. – T. 84. – ¹. 12. – S. 5-16. - https://doi.org/10.18127/j00338486-202012(24)-01

24. Litvinov O. S. i dr. Sravnenie ehffektivnosti primeneniya korrelyatsionnykh metodov pelengatsii i razresheniya istochnikov signalov //Antenny. – 2020. – ¹. 5. – S. 32-41. - https://doi.org/10.18127/j03209601-202005-04

25. Myun'e Zh., Delil' Zh. Yu. Prostranstvennyi analiz v passivnykh lokatsionnykh sistemakh s pomoshch'yu adaptivnykh metodov //TIIEHR. – 1987. – T. 75. – ¹. 11. – S. 21.

26. Azimi-Sadjadi M. R., Pezeshki A., Roseveare N. Wideband DOA estimation algorithms for multiple moving sources using unattended acoustic sensors //IEEE Transactions on Aerospace and Electronic Systems. – 2009. – Ò. 44. – ¹. 4. – Ñ. 1585-1599. - https://doi.org/10.1109/TAES.2008.4667733

27. Manokhin G. O., Gel'tser A. A., Rogozhnikov E. V. Uvelichenie razreshayushchei sposobnosti radiolokatsionnoi sistemy za schet parametricheskikh metodov obrabotki signalov //Vestnik SibGUTI. – 2015. – ¹. 1 (29). – S. 15-23.

28. Krasnenko N.P., Rybakov I.A., Rakov A.S. Realizatsiya ehlektronnogo upravleniya luchom v akusticheskoi antennoi reshetke // Ehlektronnye sredstva i sistemy upravleniya : materialy dokladov Mezhdunarodnoi nauchno-prakticheskoi konferentsii. - 2023. - N 1-1. - S. 27-29.

For citation:

Krasnenko N.P., Rybakov I.A. Adaptive selection of the sounding direction in acoustic systems based on super-resolution direction finding of interference sources. Part 1. // Journal of Radio Electronics. – 2026. – ¹. 6. https://doi.org/10.30898/1684-1719.2026.6.14 (In Russian)