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基于Savitzky-Golay算法的地磁去扰研究 被引量:2

Research on the Savitzky-Golay Algorithm in Geomagnetic Disturbance
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摘要 近年来,随着社会经济的不断发展,城市轨道交通建设如火如荼,其产生的电磁噪声,对地磁数据产生了很大的影响。因此,有效地去除轨道交通的电磁信号干扰,是地震地磁学面临的重大问题。本文将Savitzky-Golay算法引入地磁数据的有关处理,将除噪处理结果与不受干扰的数据进行比对,通过分析相关系数和标准误差,确定最优窗宽与多项式阶数。结果表明,在Savitzky-Golay算法取2阶1169窗宽时,去噪效果最好,该方法在地磁数据处理中有着很好的应用前景。 In recent years, as the economy continues to develop, rail transport has been the strong construction and development, but the electromagnetic interference generated by it, the geomagnetic data of seismic stations have a huge impact, thus effectively remove the rail transportation interference, that is a major problem in the earthquake geomagnetic disciplines. The Savitzky-Golay algorithm is used for processing geomagnetic data, the filtering results are compared on the undisturbed data from neighboring stations recorded, by analyze the correlation coefficient and standard deviation, to determine the optimal window width and polynomial order. The results showed that when the Savitzky-Golay algorithm take 2 Order and 1169 window width, the effect is best,the method has a good prospect in the geomagnetic data processing.
作者 张明东 曹颖 吴博洋 刘长生 张长轩 ZHANG Ming-dong;CAO Ying;WU Bo-yang;LIU Chang-sheng;ZHANG Chang-xuan(Tianjin Earthquake Agency,Tianjin,300201;Heilongjiang Earthquake Agency,Harbin,150090)
出处 《微波学报》 CSCD 北大核心 2018年第A02期474-476,共3页 Journal of Microwaves
基金 天津市"十二五"地震监测技术系统完善与建设项目 天津市地震局局内科研项目(zd201802)
关键词 Savitzky-Golay算法 地磁去扰 秒数据处理 标准误差 相关系数 Savitzky-Golay algorithm Geomagnetic disturbance Second data processing Standard deviation Correlation coefficient
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