激光测风雷达速度方位显示反演中数据质量的控制方法与仿真

Method and Simulation of Data Quality Control in Velocity Azimuth Display Inversion of Wind Lidar

针对实际数据资料中往往因地表杂波等各种干扰而出现小幅值风速和奇异点,在进行速度方位显示(VAD)数据反演之前,提出了对数据资料进行质量控制的预处理方法,即剔除小幅度数据和奇异点,然后分别进行了全方位采样和非全方位采样的反演,反演精度大幅度提高,仿真结果与实际结果相吻合.模拟两种线性风场,即含有0,1阶谐波和含有0,1,2阶谐波的线性风场.利用这两种风场比较研究了全方位采样和非全方位采样的速度方位显示方法.仿真结果表明,全方位采样速度方位显示方法对这两种线性风场反演结果准确度都高,而非全方位采样速度方位显示方法对不含2阶谐波的线性风场具有很小的有效采样范围,同时,2阶谐波对其具有一定的影响.

Since practical data information often contains small-amplitude wind speed and singularity point because of lots of disturbance such as earth-surface clutter, we put forward a method of pretreatment for quality control to data information before the velocity azimuth display （VAD） data inversion, which eliminates small-amplitude data and singularity point, then we proceed omnidirectional sampling and non-omnidirectional sampling inversion respectively. The precision of inversion is improved a lot, and the result of the simulation is consonant with reality. We simulate two kinds of linear wind field, that is, the linear wind field with the zero, first order harmonics and the zero, first, second order harmonics. We research into the omnidirectional sampling and non-omnidirectional sampling VAD methods by using the two kinds of wind field＇s comparison. The result of this simulation indicates that the omnidirectional sampling VAD method has high performance in both two kinds of linear wind field＇s inversion results, while the non-omnidirectional sampling VAD method has a very small effective sampling range in the linear wind fields without the second order harmonic, meanwhile, this method is affected by the second order harmonic partly.