Krasnenko N.P., Rybakov I.A.
UDK 534.6.08, 551.508.5
https://doi.org/10.56408/2412-8627.2026.12.2.001
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Krasnenko, N.P. Noise reduction methods in acoustic doppler SODARs for atmospheric sensing / N.P. Krasnenko, I.A. Rybakov // Noise Theory and Practice. – 2026. – Vol. 12, No. 2 (45). – P. 9-31. – DOI: 10.56408/2412-8627.2026.12.2.001
SODAR, noise reduction, digital signal processing, Doppler spectrum, signal-to-noise ratio, antenna arrays
An overview is presented of modern noise-suppression methods employed in acoustic Doppler sodars used for the remote sensing of the atmosphere. The primary sources of interference encountered during measurements are examined, along with methods for compensating for their effects. An analysis is provided of the digital signal processing algorithms implemented in commercial sodars from various manufacturers, including Metek, Remtech, Scintec, Atmospheric Research & Technology, and Vaisala. Particular attention is devoted to spectral methods for Doppler signal processing, multi-frequency measurement modes, spatial filtering using antenna arrays, temporal and frequency averaging, and adaptive data quality control procedures. A comparative summary of the applied approaches is conducted, revealing trends toward a transition from classical processing techniques to more sophisticated methods. The results obtained may be utilized in the development of new noise-reduction techniques and the optimization of data processing in acoustic atmospheric sensing systems for various applications.
Krasnenko N.P.
Institute for Monitoring of Climate and Environmental Systems of the Siberian, Tomsk, Russia
Rybakov I.A.
Institute for Monitoring of Climate and Environmental Systems of the Siberian, Tomsk, Russia
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