Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki / Archive / Issue of Journal № 1, Vol. 29, 2026 / Adaptive suppression of external noise in atmospheric acoustic sounding systems

Adaptive suppression of external noise in atmospheric acoustic sounding systems

DOI: 10.21293/1818-0442-2026-29-1-20-26

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Abstract: Relevance. Acoustic radars (sodars) are widely used for remote atmospheric monitoring; however, their operation is significantly constrained by external noise. Purpose of the study is to develop and experimentally validate adaptive noise suppression algorithms that increase the signal-to-noise ratio directly in the sodar receiving path and enable the extraction of the useful signal under a complex interference environment. Methods. An adaptive noise canceller with an additional omnidirectional antenna element is proposed, where the filter coefficients are computed based on a full time realization, along with a noise spectral subtraction method for a single-channel system. Experi-mental verification was carried out on a laboratory setup using a harmonic useful signal and broadband noise. A spectral noise cancellation method was also proposed and tested in a field experiment. Novelty. The spectral noise compensation method is applied for the first time to extract Doppler frequency shifts in conditions where direct signal detection is impossible. Unlike threshold-based procedures used in commercial sodars, the adaptive canceller operates at the physical level prior to spectral processing, attenuating the interference component and improving the signal-to-noise ratio. Results. A 14 dB improvement in signal-to-noise ratio was experimentally obtained using the adaptive filter. Single-channel spectral noise subtraction was shown to reliably identify the Doppler frequency of a scattered signal even at low initial signal-to-noise ratios. Practical significance. The achieved increase in signal-to-noise ratio is equiva-lent to reducing the required radiated power by up to 25 times, or, alternatively, to a corresponding increase in probing height. The results allow for expanding the range of sites suitable for sodar installation to include areas with high background acoustic noise and for upgrading existing systems by adding an additional compensation channel.

Keywords: acoustic systems, sounding, atmosphere, adaptive filtering, noise suppression

Funding: The work was carried out within the state assignment of the Institute of Monitoring of Climatic and Ecological Systems of the Siberian Branch of the Russian Academy of Sciences (IMCES SB RAS) under the project No. FWRG-2026-0006.

For citation:
Krasnenko N. P., Rybakov I. A., Trofimov G. A. Adaptive suppression of external noise in atmospheric acoustic sounding systems. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2026, vol. 29, no. 1, pp. 20–26. DOI: 10.21293/1818-0442-2026-29-1-20-26

Authors and copyright holders:

Krasnenko N. P. , Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of the Russian Academy of Sciences (Tomsk, Russia);, Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
Rybakov I. A. , Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of the Russian Academy of Sciences (Tomsk, Russia)
Trofimov G. A. , Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch of the Russian Academy of Sciences (Tomsk, Russia)

1. Krasnenko N.P. Akusticheskoe zondirovanie atmos-fernogo pogranichnogo sloya [Acoustic sounding of the at-mospheric boundary layer]. Tomsk, Vodoley Publ., 2001, 278 p. (in Russ.).
2. Bradley S. Atmospheric Acoustic Remote Sensing: Principles and Applications. CRC Press Taylor & Francis Group, 2007, 296 p.
3. Kumar N., Soni K., Agarwall R. Design and Develop-ment of SODAR Antenna Structure. Mapan – Journal of Me-trology Society of India, 2021, vol. 36, no. 4, pp. 785–793.
4. REMTECH General Catalogue. Available at: https://remtechinc.com (accessed: 4 April 2025).
5. Dzhigan V.I. Adaptivnaya fil'tratsiya signalov: teoriya i algoritmy [Adaptive filtering of signals: theory and algorithms]. Moscow, Tekhnosfera Publ., 2013, 528 p. (in Russ.).
6. Uidrou B., Stirnz S. Adaptivnaya obrabotka signalov [Adaptive signal processing]. Moscow, Radio i svyaz' Publ., 1989, 440 p. (in Russ.).
7. Mozingo R.A., Miller T.U. Adaptivnye antennye resh-etki [Adaptive antenna arrays]. Moscow, Radio i svyaz' Publ., 1986, 448 p. (in Russ.).
8. Haykin S. Adaptive Filter Theory. 5th ed., Pearson Ed-ucation, 2014, 897 p.
9. Shil'man S.V. Adaptivnaya fil'tratsiya vremennykh rya-dov [Adaptive filtering of time series]. Nizhny Novgorod, NNGU Publ., 1995, 180 p. (in Russ.).
10. Abbot G., Sharma D. A Survey on Adaptive Noise Cancellation Technique and Adaptive Algorithms. Journal of Emerging Technologies and Innovative Research, 2019, vol. 6, iss. 6, pp. 90–93.
11. Stolbov M.B., Perelygin S.V. Speech enhancement us-ing dual microphone adaptive noise canceller. Radiotekhnika, 2023, vol. 87, no. 7, pp. 127–136.
12. Cheer J., Langfeldt F. Beyond anti-noise: foundations and the future of active sound control. Acoustics Today, 2024, vol. 20, no. 2, pp. 31–39. DOI: 10.1121/AT.2024.20.2.31.
13. Lakshmikanth S., Natraj K., Rekha K. Noise Cancella-tion in Speech Signal Processing – A Review. International Journal of Advanced Research in Computer and Communica-tion Engineering, 2014, vol. 3, iss. 1, pp. 5175–5186.
14. Liu Y., Lei Z. Review of Advances in Active Impul-sive Noise Control with Focus on Adaptive Algorithms. Ap-plied Sciences, 2024, vol. 14, art. no. 1218. DOI: 10.3390/app14031218.
15. Zhang Z., Chen S., Zhou Z., Li H. An active noise control system based on reference signal decomposition. Digital Signal Processing, 2022, vol. 129, art. no. 103676. DOI: 10.1016/j.dsp.2022.103676.
16. L'vov A.V., Karaseva V.A., Potapov O.A., Sokov A.M. Adaptivnaya sistema aktivnogo gasheniya akusticheskogo shirokopolosnogo izlucheniya s dinamicheskoy kalibrovkoy [Adaptive system for active cancellation of broadband acoustic radiation with dynamic calibration]. Akusticheskij Zhurnal, 2023, vol. 69, no. 3, pp. 357–366 (in Russ.).
17. Benesty J., Chen J., Huang Y. Microphone Arrays. Springer, 2024, 223 p.
18. Yin L. Adaptive parallel filter method for active cancel-lation of road noise inside vehicles. Mechanical Systems and Signal Processing, 2023, vol. 193, art. no. 110274. DOI: 10.1016/j.ymssp.2023.110274.
19. Rodionov A.A., Semenov V.Yu. Noise Direction Finding of Acoustic Sources by Using Microphone Antenna Arrays in the Presence of Intense Interference. Radiophysics and Quantum Electronics, 2023, vol. 66, no. 4, pp. 227–234.
20. Khokhlov V.K., Korshikova Zh.S. Pelengatsiya loka-lizovannogo istochnika akusticheskikh izlucheniy na osnove spektral'nogo metoda obrabotki signalov [Direction finding of a localized acoustic radiation source based on a spectral signal processing method]. Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, 2010, no. 1 (78), pp. 62–73 (in Russ.).
21. Krasnenko N.P., Rybakov I.A., Rakov A.S. Akustich-eskoe obnaruzhenie nizkoletiashchikh dronov [Acoustic detec-tion of low-flying drones]. Trudy XXXVI sessii Rossiyskogo akusticheskogo obshchestva [Proceedings of the XXXVI session of the Russian Acoustic Society], Moscow, 21–25 October 2024. Moscow, GEOS Publ., 2024, pp. 320–326 (in Russ.).
22. Metek GmbH Germany. Available at: https://metek.de (accessed: 09 April 2025).
23. Atmospheric Research & Technology. Available at: https://sodar.com/ (accessed: 12 April 2025).