Infrared and Laser Engineering, Volume. 47, Issue 11, 1106001(2018)

Estimation method of turbulent wind speed based on lidar pulse characteristics

Zhuang Zibo1、*, Liu Xiaoyu2, and Chen Xing3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Based on the distance weight function of laser pulse, the velocity estimation method of turbulent wind field was studied, which can solve the problem of fining wind speed measurement with Doppler information to detection clear air turbulence. The spatial averaging of the velocity values was taken as a unit of the distance gate. The localized estimations of the wind speed were obtained by convolving the distance unit velocity and the laser pulse distance weight function. Considering the transmission characteristics of the Gaussian laser pulse in the turbulent wind field, which included the effective spatial broadening of the laser pulse to realize the measurement of the turbulence velocity and the application of the lidar in the detection of turbulence. According to the direct speed estimation method and the fast linear average approximation method, the transmission characteristic of the laser pulse was introduced to express the statistical mean value of the radial wind speed of the turbulence. The results show that in the wind field with obvious turbulence conditions, while the high precision pulse distance weighting method has a relatively small velocity standard deviation under the premise of preserving the real wind field attribute. It shows good performance in wind speed correction, improves the measuring performance of lidar on turbulent wind field.

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    Zhuang Zibo, Liu Xiaoyu, Chen Xing. Estimation method of turbulent wind speed based on lidar pulse characteristics[J]. Infrared and Laser Engineering, 2018, 47(11): 1106001

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    Paper Information

    Category: 激光技术及应用

    Received: Jun. 5, 2018

    Accepted: Jul. 3, 2018

    Published Online: Jan. 10, 2019

    The Author Email: Zibo Zhuang (zbzhuang@cauc.edu.cn)

    DOI:10.3788/irla201847.1106001

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