Acta Optica Sinica, Volume. 41, Issue 6, 0601003(2021)

Numerical Modeling and Simulation Analysis of Coherent Wind Lidar

Xiaomei Jin1,2, Wenyue Zhu1,2, Qing Liu1,2,3、*, and Yehui Chen1,2,3,4
Author Affiliations
  • 1Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2Advanced Laser Technology Laboratory of Anhui Province, Hefei, Anhui 230037, China
  • 3Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, Anhui 230026, China
  • 4Electronic Communications Engineering College, Anhui Xinhua University, Hefei, Anhui 230088, China
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    This study establishes a whole-process simulation model of a coherent wind lidar considering the transmission process of the lidar's optical detection path and atmospheric stratification theory. Using the existing system parameters, we simulate the detection process under two models: a constant wind speed model and the typical wind shear model of NASA. We also consider two systems: a high-pulse energy low-pulse repetition frequency (HPE-LPRF) system and a low-pulse energy high-pulse repetition frequency (LPE-HPRF) system. The detection performances of both systems are compared by computing the mean square error of their inversed wind speeds. The simulated signal-to-noise ratios of both systems well agree with the theoretical values. The accuracy of the measured wind speed is improved by incoherent accumulation average process. At an incoherent accumulative time of 0.1 s, the mean square error of the wind speeds detected under the constant wind speed model and NASA shear model is lower in the LPE-HPRF system (0.75 and 1.03 m/s, respectively) than in the HPE-LPRF system (0.93 and 1.25 m/s, respectively).

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    Xiaomei Jin, Wenyue Zhu, Qing Liu, Yehui Chen. Numerical Modeling and Simulation Analysis of Coherent Wind Lidar[J]. Acta Optica Sinica, 2021, 41(6): 0601003

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jul. 6, 2020

    Accepted: Nov. 9, 2020

    Published Online: Apr. 7, 2021

    The Author Email: Liu Qing (liuqing@aiofm.ac.cn)

    DOI:10.3788/AOS202141.0601003

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