基于Fizeau条纹技术的测风激光雷达风速反演方法

建立了基于Fizeau干涉仪的测风激光雷达后向散射信号的理论模型，并利用最小二乘拟合方法结合数值迭代方法反演风速。该方法无需确切知道实际系统参数的大小和测量时的大气状况。风速反演的精度受迭代次数的影响，而迭代初值的选取只会影响迭代的收敛速度。用Monte-Carlo方法模拟了低对流层的回波信号并进行了风速反演，验证了该风速反演方法的可行性。模拟的系统参数在0～5 km高度，由信号的散粒噪声引起的系统误差小于1 m/s。

Method of wind velocity inversion for wind lidar based on Fizeau fringe technique

The theoretical model of backscattering signal for wind lidar based on Fizeau interferometer is established. Wind velocity is retrieved by combining the least square method and the numerical iterative method. The exact values of system parameters and the actual atmospheric condition are unnecessarily required in this algorithm. The precision of retrieval of wind velocity is affected by the iterative time, and the choice of iterative initial values only influences the speed of convergence. Wind velocity is retrieved through simulation on low tropospheric signals by using Monte-Carlo technique. The feasibility of the inversion method is proved. Wind velocity error due to signal shot noise is below 1 m/s for altitude from 0 to 5 km.