• Acta Optica Sinica
  • Vol. 39, Issue 8, 0801002 (2019)
Yichen Liu*, Kan Wu**, Gaofeng Qiu, and Jianping Chen
Author Affiliations
  • State Key Laboratory of Advanced Optical Communication Systems and Networks,Shanghai Jiao Tong University, Shanghai 200240, China
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    DOI: 10.3788/AOS201939.0801002 Cite this Article Set citation alerts
    Yichen Liu, Kan Wu, Gaofeng Qiu, Jianping Chen. Atmospheric Optical Path Airflow Disturbance Analysis Method Based on Convolutional Neural Network[J]. Acta Optica Sinica, 2019, 39(8): 0801002 Copy Citation Text show less

    Abstract

    A method to investigate optical path turbulence based on laser spot distortion and a convolutional neural network (CNN) is proposed. Utilizing the CNN, we evaluated the spot distortion of laser beams resulting from airflow disturbance in space propagation. As a result, details of turbulence on the beam propagation path can be obtained. Experimental results demonstrate a high correlation between the evaluation parameter and the turbulent intensity (wind speed) measured by an anemoscope. The proposed method provides a turbulence analysis with short distance, high speed, and low cost.
    Yichen Liu, Kan Wu, Gaofeng Qiu, Jianping Chen. Atmospheric Optical Path Airflow Disturbance Analysis Method Based on Convolutional Neural Network[J]. Acta Optica Sinica, 2019, 39(8): 0801002
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