Improved algorithm for laser Doppler velocimetry based on spectrum analysis

Zhou Sha; Haibin Wu; Xinbing Chen

doi:10.1117/12.2690179

17 August 2023 Improved algorithm for laser Doppler velocimetry based on spectrum analysis

Zhou Sha, Haibin Wu, Xinbing Chen

Proceedings Volume 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023); 127573H (2023) https://doi.org/10.1117/12.2690179
Event: 3rd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2023), 2023, Kunming, China

Abstract

The mainstream spectrum analysis algorithms include FFT spectrum estimation and Welch spectrum estimation, both of which have lower spectral resolution and depend on the number of sampling points. This article introduces a refinement algorithm based on FFT spectrum estimation, which moves the center frequency f_o of the refinement range to the zero position of the spectrum graph, effectively suppressing spectrum aliasing and fence effects. After using a low-pass filter for filtering and resampling, the local sampling frequency is increased from the original 1000Hz to 5000Hz, known as ZoomTTT refinement. Then, energy center correction with a Hanning window is used to further improve the speed measurement accuracy. Compared to the 98% universal accuracy of Welch spectrum estimation analysis, the improved speed measurement accuracy reaches over 99.5% and the error fluctuation is smaller.

Citation Download Citation

Zhou Sha, Haibin Wu, and Xinbing Chen "Improved algorithm for laser Doppler velocimetry based on spectrum analysis", Proc. SPIE 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023), 127573H (17 August 2023); https://doi.org/10.1117/12.2690179

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