Laser Doppler velocimetry signal processing based on stochastic resonance

Jingjing Sun; Lei Zhang; Guojie Tu; Shenglai Zhen; Zhigang Cao; Benli Yu

doi:10.1117/12.2587443

12 March 2021 Laser Doppler velocimetry signal processing based on stochastic resonance

Jingjing Sun, Lei Zhang, Guojie Tu, Shenglai Zhen, Zhigang Cao, Benli Yu

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117637D (2021) https://doi.org/10.1117/12.2587443
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

Laser Doppler Velocimetry (LDV) has been widely used for many years in fluid mechanics to measure particle velocity. However, the signal of LDV is weaker in most applications. One challenging issue is how to effectively discover the weak characteristics from the signal submerged in noise. To address the issue, a method based on Stochastic Resonance is proposed in this paper. Using the SR method, the noise may be weakened and weak characteristics highlighted, and therefore velocity can be is obtained. FFT and the method are adopted to process simulated laser Doppler signals in circumstance of MATLAB. The input and the output signal-to-noise ratios of the bistable system demonstrate the effectiveness of the SR method.

Citation Download Citation

Jingjing Sun, Lei Zhang, Guojie Tu, Shenglai Zhen, Zhigang Cao, and Benli Yu "Laser Doppler velocimetry signal processing based on stochastic resonance", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117637D (12 March 2021); https://doi.org/10.1117/12.2587443

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