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Data inversion technique for single Fabry-Perot etalon-based dual-frequency Doppler lidar

Shen Fa-Hua Sun Dong-Song Liu Cheng-Lin Qiu Cheng-Qun Shu Zhi-Feng

Data inversion technique for single Fabry-Perot etalon-based dual-frequency Doppler lidar

Shen Fa-Hua, Sun Dong-Song, Liu Cheng-Lin, Qiu Cheng-Qun, Shu Zhi-Feng
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Publishing process
  • Received Date:  07 June 2013
  • Accepted Date:  10 August 2013
  • Published Online:  05 November 2013

Data inversion technique for single Fabry-Perot etalon-based dual-frequency Doppler lidar

  • 1. Department of Physics, Yancheng Teachers University, Yancheng 224002, China;
  • 2. School of Space and Earth Science, University of Science and Technology of China, Hefei 230026, China
Fund Project:  Project supported by the Young Scientists Fund of the Natural Science Foundation of Jiangsu Province, China (Grant No. BK2012246) and the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (Grant No. 12KJB170014).

Abstract: The effective transmittance of the Fabry-Perot (F-P) etalon in the case of the atmospheric backscatter light incidence is deduced. In the single F-P etalon-based dual-frequency Doppler lidar system, the wind retrieval accuracy with Rayleigh-induced effect for average method is analyzed quantitatively. A nonlinear iterative algorithm is proposed which can retrieve both wind speed and backscatter ratio, and its effectiveness is verified by simulation test. At the same time, the specific expressions of the radial wind speed error and backscatter ratio error are deduced. According to these expressions, the radial wind speed error and backscatter ratio error are simulated. The simulation results show that on the assumption that the total number of backscattering photons received by telescope is 50000, the radial wind speed measurement error decreases rapidly with the increase of backscatter ratio; when Rβ >1.2, the radial wind speed error is below 3 m/s within the wind speed measurement dynamic range of ±25 m/s; the backscatter ratio measurement error increases with the increase of backscatter ratio, but it is almost irrelative to the magnitude of radial wind; when Rβ<10, the backscatter ratio relative error is less than 13%.

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