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风廓线雷达数据处理EKF方法仿真研究
引用本文:陈兴鹃,周杰,李家强.风廓线雷达数据处理EKF方法仿真研究[J].价值工程,2012,31(28):14-16.
作者姓名:陈兴鹃  周杰  李家强
作者单位:南京信息工程大学,南京,210044
基金项目:中国科技部公益性行业科研专项项目(GYHY200906053);江苏省气象探测与信息处理重点实验室开放基金课题(KDXS1101)
摘    要:文章针对风廓线雷达实际工程应用中,处理风场数据时的非线性问题,在传统卡尔曼滤波技术的基础上,提出了基于扩展卡尔曼滤波的数据处理方法。选取2011年的风场数据进行计算机仿真分析,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,较好的平滑了未滤波曲线,并弥补了经典卡尔曼滤波参数设置方面的不足,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  数据处理  卡尔曼滤波  一阶扩展卡尔曼滤波

Data Processing of Wind Profiler Radar Based on EKF through Simulation Study
CHEN Xing-juan , ZHOU Jie , LI Jia-qiang.Data Processing of Wind Profiler Radar Based on EKF through Simulation Study[J].Value Engineering,2012,31(28):14-16.
Authors:CHEN Xing-juan  ZHOU Jie  LI Jia-qiang
Institution:CHEN Xing-juan;ZHOU Jie;LI Jia-qiang(Nanjing University of Information Science and Technology,Nanjing 210044,China)
Abstract:A data processing method based on Extended Kalman Filter(EKF) is presented in this paper,which focuses on the nonlinear problems of wind data of wind profiler radar.This method is the development of traditional Kalman Filter(KF) in practical engineering applications.To verify the validity of this first-order EKF from different angles,wind data in 2011 is selected for simulation filtering.After processing the measured wind data,the simulated experimental results indicate that this method can effectively remove the noise of wind data.It plays the role of smoothing,and solve the problem of boundary jump,making up for the classical KF parameter settings of the insufficient.EKF is better for data processing of wind profiler radar and have some engineering application prospects.
Keywords:wind profiler radar  data processing  Kalman Filter  First-order Extended Kalman Filter
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