首页 | 本学科首页   官方微博 | 高级检索  
     

天气雷达反射率数据方位分辨率提高
引用本文:李学华,何建新,何子述.天气雷达反射率数据方位分辨率提高[J].计算机工程与应用,2011,47(8):18-20.
作者姓名:李学华  何建新  何子述
作者单位:1.电子科技大学 电子工程学院,成都 610054 2.成都信息工程学院 电子工程学院,成都 610225
摘    要:天气雷达反射率数据方位分辨率的提高,对中小尺度强对流天气过程的精细探测有重要的意义。以雷达气象积分方程为基础,通过对天气雷达反射率方位数据的过采样,建立雷达测量的低分辨反射率数据与真实气象目标高分辨率数据之间的矩阵方程,提出使用截断奇异值分解算法优化超分辨反演方程逆求解及改善解稳定性。实验结果验证,该方法对反射率数据方位分辨率的提高是行之有效的。

关 键 词:天气雷达  反射率数据  超分辨  截断奇异值分解  
修稿时间: 

Weather radar angular resolution improvement of reflectivity data
LI Xuehua,HE Jianxin,HE Zishu.Weather radar angular resolution improvement of reflectivity data[J].Computer Engineering and Applications,2011,47(8):18-20.
Authors:LI Xuehua  HE Jianxin  HE Zishu
Affiliation:1.School of Electronic Engineering,University of Electronic Science Technology of China,Chengdu 610054,China 2.School of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225,China
Abstract:Weather radar angular resolution improvement of reflectivity data is important for fine sounding of small-scale strong convection weather.On the radar meteorologic integral equation,a matrix expression between radar reflectivity measurements of low resolution and their true weather distribution of high resolution is investigated through oversampling in azimuth,the algorithm of Truncated Singular Value Decomposition(TSVD) is exploited to solve this super-resolution deconvolution and improve its stability.Experiment results demonstrate the developed technique is efficient for the angular resolution improvement of reflectivity data.
Keywords:weather radar  reflectivity data  super-resolution  truncated singular value decomposition
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号