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在Rayleigh敞射Doppler激光雷达的风场反演过程中,除了温度、压强等因素之外,风速反演结果的准确性还受到Mie敞射信号的影响.当Mie散射信号较强时,尤其是遇到高层云或火山灰等情况,如果仍不号虑气溶胶信号,由于温度不确定度和气溶胶信号的综合影响,风速反演结果将与真值偏差很大.本文提出了利用激光雷达在垂直方向的测量信同时反演后向散射比和大气温度的非线性迭代算法,并优化给出了最佳的初始发射激光工作点.仿真试验结果表明:该方法可以准确有效地反演后向散射比;将该方法结合非线性迭代风速反演方法,可以有效消除气溶胶后向敞射信号的影响,进一步提高大气风速和温度的反演精度.
In the wind field inversion of Rayleigh Doppler lidar, the accuracy of the wind-velocity inversion results is also affected by the Mie signal, especially when the Mie scattering signal is strong In the case of high-level cloud or volcanic ash, if the aerosol signals are still not considered, due to the combined effect of temperature uncertainty and aerosol signals, the wind-speed inversion results will deviate greatly from the true values.This paper presents the use of lidar in vertical Direction of the measurement signal simultaneously invert backscattering ratio and atmospheric temperature nonlinear iterative algorithm and optimize the initial laser launcher operating point is given.The simulation results show that this method can accurately and effectively backscatter The method combined with nonlinear iterative wind velocity inversion method can effectively eliminate the influence of aerosol to open signal and further improve the accuracy of atmospheric wind velocity and temperature inversion.