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基于非线性滤波的风廓线雷达数据处理
引用本文:陈兴鹃,周杰,李家强,郭磊.基于非线性滤波的风廓线雷达数据处理[J].南京气象学院学报,2013,5(6):533-538.
作者姓名:陈兴鹃  周杰  李家强  郭磊
作者单位:江西省气象科学研究所, 南昌, 330046;南京信息工程大学 电子与信息工程学院, 南京, 210044;南京信息工程大学 电子与信息工程学院, 南京, 210044;江西省气象服务中心, 南昌, 330046
基金项目:公益性行业科研专项(GYHY200906053);江苏省气象探测与信息处理重点实验室开放基金(KDXS1101)
摘    要:针对实际工程中风廓线雷达风向、风速随高度分布取值的非线性特性以及非气象干扰因素,基于非线性化方法——扩展卡尔曼滤波法,对风廓线雷达探测数据进行滤波处理.先利用泰勒展开式的一次项对非线性方程作线性化处理,再结合经典的卡尔曼滤波进行滤波估计,将非线性滤波问题转化为一个近似的线性滤波问题.仿真实验结果表明,该方法可以有效去除风场数据中掺杂的噪声干扰,很好地发挥了其非线性特性,滤波效果优于传统的卡尔曼滤波,具有一定的工程应用前景.

关 键 词:风廓线雷达  数据质量控制  卡尔曼滤波  一阶扩展卡尔曼滤波
收稿时间:2012/3/20 0:00:00

Data processing of wind profiler radar based on nonlinear filtering
CHEN Xingjuan,ZHOU Jie,LI Jiaqiang and GUO Lei.Data processing of wind profiler radar based on nonlinear filtering[J].Journal of Nanjing Institute of Meteorology,2013,5(6):533-538.
Authors:CHEN Xingjuan  ZHOU Jie  LI Jiaqiang and GUO Lei
Affiliation:Meteorological Research Institute of Jiangxi Province, Nanchang 330046;School of Electronic & Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044;School of Electronic & Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044;Meteorological Service Center of Jiangxi Province, Nanchang 330046
Abstract:In view of nonlinear distribution characteristics of wind direction and wind speed with increase of height,as well as non-meteorological interference factors of wind profiler radar in engineering practices,a nonlinear method,namely Extended Kalman Filter (EKF) is proposed in this paper for data filtering of wind profiler radar.Using first-order Taylor expansion and combining with the classic Kalman Filter (KF),EKF method linearizes the nonlinear equations and changes the nonlinear filter into an approximately linear filter.The experimental results indicate that this method can effectively remove the noise of wind data and well reflects its nonlinear characteristics.EKF is better for data processing of wind profiler radar than traditional KF and has some engineering application prospects.
Keywords:wind profiler radar  data quality control  Kalman filter  first-order extended Kalman filter
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