基于小波变换实现地磁秒采样观测移动车辆干扰的自动识别
Research on automatic recognition and processing method for mobile vehicles interference in geomagnetic second sampling observation based on the wavelet transformation
潘颖 1袁桂平 1张秀霞 1黄群2
作者信息
- 1. 中国南京 210014 江苏省地震局
- 2. 中国常州 213300 江苏省溧阳地震台
- 折叠
摘要
为了提高对地磁秒采样数据中移动车辆干扰的处理、提取效率,基于小波变换设计了移动车辆干扰自动识别处理方法,并采用溧阳地震台、河池地震台受干扰数据进行分析.结果显示,采用该方法,选择db6、db9、sym8 小波识别提取移动车辆干扰,识别率大于 91%,正确率大于 83%.
Abstract
In order to improve the processing and extraction efficiency of mobile vehicle interference in geomagnetic second data,a set of automatic recognition and processing methods for mobile vehicle interference was designed based on wavelet transform.The interference data from Liyang and Hechi stations were analyzed and studied.The results show that selecting db6 wavelet,db9 wavelet,and sym8 wavelet to identify and extract moving vehicle interference can achieve a maximum recognition rate of over 91%and a maximum accuracy rate of over 83%.
关键词
地磁秒采样/小波变换/移动车辆干扰识别Key words
geomagnetic second sampling/wavelet/mobile vehicle interference identification引用本文复制引用
基金项目
中国地震局监测、预报、科研三结合课题(3JH-202302030)
江苏省地震局青年科学基金(202107)
出版年
2024
国家科技期刊平台
NSTL
万方数据