Spectral Method of Detection of Laser Doppler Velocimeter Signals in Turbulent Flows


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Аннотация

A spectral method of detection of laser Doppler velocimeter signals in turbulent flows is proposed. The method is based on estimating the signal/noise ratio adapted to the width of the power spectral density of the signal and comparing its value with the recognition threshold. Numerical simulations show that the error of the signal/noise ratio estimates is 1% for different velocities of the turbulent flow. Physical experiments aimed at measuring turbulent aerodynamic processes show that the proposed method offers a possibility of eliminating the errors of calculating the mean value and the velocity deviation equal to 15 and 78% by means of eliminating the signals with low signal/noise ratios from the processing system. Application of the proposed method also ensures lower nonuniformity of the signal/noise ratio estimates than that ensured by the famous method developed by Tropea for a wide range of turbulent velocities.

Авторлар туралы

A. Klimov

Kutateladze Institute of Thermophysics, Siberian Branch

Хат алмасуға жауапты Автор.
Email: KlimovAntonNSU@yandex.ru
Ресей, pr. Akademika Lavrent’eva 1, Novosibirsk, 630090

V. Meledin

Kutateladze Institute of Thermophysics, Siberian Branch

Email: KlimovAntonNSU@yandex.ru
Ресей, pr. Akademika Lavrent’eva 1, Novosibirsk, 630090

Yu. Anikin

Kutateladze Institute of Thermophysics, Siberian Branch

Email: KlimovAntonNSU@yandex.ru
Ресей, pr. Akademika Lavrent’eva 1, Novosibirsk, 630090

D. Kulikov

Kutateladze Institute of Thermophysics, Siberian Branch

Email: KlimovAntonNSU@yandex.ru
Ресей, pr. Akademika Lavrent’eva 1, Novosibirsk, 630090

S. Krotov

Kutateladze Institute of Thermophysics, Siberian Branch

Email: KlimovAntonNSU@yandex.ru
Ресей, pr. Akademika Lavrent’eva 1, Novosibirsk, 630090

I. Kabardin

Kutateladze Institute of Thermophysics, Siberian Branch

Email: KlimovAntonNSU@yandex.ru
Ресей, pr. Akademika Lavrent’eva 1, Novosibirsk, 630090

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© Allerton Press, Inc., 2018