基于非参数回归方法的城市电磁干扰消除研究
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- 英文论文题名：Research on Eliminate Urban Electromagnetic Interference in Non-parametric Regression Methods
- 论文作者：康健 ; 张明东 ; 张文蕾 ; 曹井泉 ; 张玮
- 英文论文作者：KANG Jian ; ZHANG Ming-dong ; ZHANG Wen-lei ; CAO Jing-quan ; ZHANG Wei ; Earthquake administration of Tianjin ; Nankai University Informatization Office ; Peking University ; Software and Microelectronics College
- 年：2016
- 作者机构：天津市地震局;南开大学信息化办;北京大学软件与微电子学院;
- 论文关键词：Lowess/Loess方法 ; 欧氏平方距 ; 电磁干扰
- 英文论文关键词：lowess/loess method ; squared euclidean distance ; electromagnetic interference
- 会议召开时间：2016-08-17
- 会议录名称：2016年全国军事微波、太赫兹、电磁兼容技术学术会议论文集
- 语种：中文
- 分类号：TN972
- 学会代码：WBXB
- 会议名称：2016年全国军事微波、太赫兹、电磁兼容技术学术会议
- 会议地点：中国陕西西安
- 主办单位：中国电子学会微波分会、天线与微波技术重点实验室
- 学会名称：《微波学报》编辑部
- 页数：3
- 文件大小：534k
- 原文格式：D
- 会议级别：全国
摘要
随着近年来城市交通运输的发展,高铁、地铁、轻轨等轨道交通线路不断新建运营,对城市的电磁环境产生了一定的影响,为尝试解决城市电磁干扰的消除问题,本文选用了两种基于加权线性最小二乘和n阶多项式模型的局部回归方法与它们的稳健形式,通过调节窗宽系数,去除噪声信号,并通过与未受干扰的数据比对,计算分析相关系数和欧氏平方距等数据指标,使之尽量接近于未受干扰时的数据形态,从而达到有效消除电磁干扰的结果。
With the development of urban transport in recent years, the high-speed rail, metro and rail lines continued expansion, the urban electromagnetic environment have been suffered a certain impact. For trying to solve this problem, this paper based on two locally weighted regression scatter plot smoother method by n-order polynomial model and their robust method, through adjusting the width of the window, remove the noise signal, compare the undisturbed data, analysis of the calculated correlation coefficient and the squared Euclidean distance and other data indicators, to be as close as possible data shape which is undisturbed, obtained effective elimination results。
With the development of urban transport in recent years, the high-speed rail, metro and rail lines continued expansion, the urban electromagnetic environment have been suffered a certain impact. For trying to solve this problem, this paper based on two locally weighted regression scatter plot smoother method by n-order polynomial model and their robust method, through adjusting the width of the window, remove the noise signal, compare the undisturbed data, analysis of the calculated correlation coefficient and the squared Euclidean distance and other data indicators, to be as close as possible data shape which is undisturbed, obtained effective elimination results。
引文
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[5]谢中华.MATLAB统计分析与应用:40个案例分析[M].北京航空航天大学出版社,2010.
[2]吴利辉,滕云田,王喜珍等,南京地磁台地铁干扰特征分析与抑制处理[J].地震地磁观测与研究,2009,30(6):32-39.
[3]孙敏,雷虹,洪铁山等,电动车组电磁兼容性测试技术研究[J].微波学报,2010,S2:128-130.
[4]Cleveland W S.Robust locally weighted regression and smoothing scatterplots[J].JAmer Statist Assoc,1979,74:829-836.
[5]谢中华.MATLAB统计分析与应用:40个案例分析[M].北京航空航天大学出版社,2010.