摘要
激光测风雷达信号提取方法直接影响雷达的精度和测程,为了提高激光测风雷达的精度和测程,设计了一种基于高斯拟合的信号重心提取方法,先对傅里叶变换获得的频率谱进行高斯拟合,然后对拟合之后的频率谱进行信号中心频率计算.使用信号源输出的固定频率正弦信号进行测试,基于高斯拟合的重心法的平均测量误差为0.43 MHz,最大值法的平均测量误差为1.54 MHz,重心法的平均误差为1.18 MHz.使用激光测风雷达实测回波信号进行测试,基于高斯拟合的重心法测程为2 850米,重心法测程为2 550米,结果表明基于高斯拟合的重心法能够提高激光测风雷达精度,并提高激光测风雷达测程12.5％.
Abstract
The signal extraction method of wind lidar affects the accuracy and range of lidar directly.In order to improve the accuracy and rang of wind lidar,A method of gravity extraction based on Gauss fitting is designed.Firstly frequency spectrum is fitted by Gauss function.Then center of gravity frequency is calculated for the fitted frequency spectrum.Using the fixed frequency sine signal outputted by the signal source,the average measurement error of bary-center method based on Gaussian fitting is 0.43 MHz,the average measurement error of the maximum method is 1.54 MHz and the average error of the barycenter method is 1.18 MHz.The measured echo signals of the wind lidar are tested.The measuring range of the wind lidar is 2 850 meters base on the Gaussian fitting method and the measuring range of the wind lidar is 2 550 meters.The results show that the measuring range of the wind lidar based on the Gaussian fitting method can improve the accuracy of the wind lidar.And increase the measuring range of wind lidar by 12.5％.
NETL
NSTL
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