数据缺失情况下基于M⁃SPICE的低空风切变风速估计方法  

Estimation of Windshear Wind Speed at Low-Altitude Based on M-SPICE with Missing Data

作　　者：李海[1] 许婷 严忠平 张强 LI Hai;XU Ting;YAN Zhongping;ZHANG Qiang(Tianjin Key Lab for Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,China;AVIC Leihua Electronic Technology Research Institute,Wuxi 214063,China)

机构地区：[1]中国民航大学天津市智能信号与图像处理重点实验室,天津300300 [2]中国航空工业集团公司雷华电子技术研究所,江苏无锡214063

出　　处：《雷达科学与技术》2023年第5期473-481,488,共10页Radar Science and Technology

基　　金：国家重点研发计划项目(No.2021YFB1600600);民机项目(No.MJ⁃2018⁃S⁃28);中央高校基本科研业务费项目(No.3122015B002);中国民航大学蓝天教学名师培养经费。

摘　　要：针对机载气象雷达回波数据缺失的情况下,低空风切变风速估计失准这一问题,本文提出了一种基于缺失数据稀疏迭代协方差估计(Missing Sparse Iterative Covariance-based Estimation,M-SPICE)的低空风切变风速估计方法。该方法首先构造数据缺失模型,然后根据协方差拟合准则计算估计算子,并不断迭代更新得到最终所需的估计算子,进而恢复得到缺失的风切变数据,最后将恢复得到的数据重构得到完整的风切变数据,实现对风场速度的准确估计。仿真结果表明,该方法能够有效实现缺失数据的重建并精确地估计风速。Aiming at the problem of inaccurate wind speed estimation of low-altitude windshear in the absence of airborne weather radar echo data,a missing sparse iterative covariance-based estimation(M-SPICE)method for low-altitude wind speed estimation is proposed in this paper.This method first constructs the data missing model,then calcu-lates the estimation operator according to the covariance fitting criterion,and iteratively updates the final estimation operator to recover the missing windshear data,and finally reconstructs the recovered data to obtain the complete windshear data,so as to achieve the accurate estimation of wind field velocity.The experimental results show that the method can reconstruct the missing data effectively and estimate the wind speed accurately.

关 键 词：机载气象雷达 缺失数据稀疏迭代协方差估计 低空风切变 风速估计 

分 类 号：TN959.4[电子电信—信号与信息处理]