Noise reduction in LOS wind velocity of Doppler lidar using discrete wavelet analysis
Noise reduction in LOS wind velocity of Doppler lidar using discrete wavelet analysis
复制标题
使用离散小波分析降低多普勒激光雷达视距风速的噪声
DOI：
--
复制
发表时间：
2003-12
影响因子：
3.5
通讯作者：
Dapeng Sun
中科院分区：
文献类型：
--
作者：
Songhua Wu;Zhishen Liu;Dapeng Sun
非相干多普勒激光雷达后向散射信号可以确定视线风速。测量中的噪声和干扰极大地降低了反演的精度。本文应用双正交小波离散小波去噪方法，采用距离相关阈值算法来提高非相干多普勒激光雷达风速测量的精度。对含有噪声的模拟数据进行了处理，并与真实视线风速进行了比较。通过标准差和相关系数的评价对结果进行了比较，结果表明，距离相关阈值的小波去噪方法可以显著地降低激光雷达测风中的噪声和干扰湍流。
The line of sight (LOS) wind velocity can be determined from the incoherent Doppler lidar backscattering signals. Noise and interference in the measurement greatly degrade the inversion accuracy. In this paper, we apply the discrete wavelet denoising method by using biorthogonal wavelets and adopt a distancedependent thresholds algorithm to improve the accuracy of wind velocity measurement by incoherent Doppler lidar. The noisy simulation data are processed and compared with the true LOS wind velocity. The results are compared by the evaluation of both the standard deviation and correlation coefficient.The results suggest that wavelet denoising with distance-dependent thresholds can considerably reduce the noise and interfering turbulence for wind lidar measurement.