激光测风雷达VAD反演方法的数值优化

为了提高多普勒激光测风雷达反演风场的速度和精度,采用Newton-Gaussian最小二乘优化方法对风场反演模型进行数值求解,并对Newton-Gaussian法的步长和初值进行讨论和调整,使得此算法的鲁棒性更强,同时也降低了传统速度方位显示反演方法中固有缺陷的影响.将其应用到研制的全光纤多普勒激光测风雷达系统中,实现了对低中空局部风场的反演.结果表明,该算法不但提高了风场反演的速度和精度,而且反演结果更稳定,适合实时计算.

Numerical Optimization in VAD Inversion technique for Wind Lidar

In order to improve the speed and accuracy of inversion of the wind obtained with a Doppler weather radar, optimized Newton-Gauss method of least squares was used to solve the wind inversion model. Its step-size and initial value of Newton-Gauss were discussed and adjusted so that the method became more robust, and some inherent defects of traditional methods of VAD inversion were overcome. The inversion of low and mid partial wind-field was achieved with the algorithm adopted in an all-fiber Doppler weather radar. The algorithm not only improves the speed and accuracy of inversion of the wind, but also makes the result of inversion more stable and suitable for real-time calculation.