Signal extraction for GPS deformation monitoring in mining survey

被引：3

作者：

Gao, Jing-xiang ^{[1
]}

Hu, Hong ^{[1
,2
]}

Liu, Fei ^{[1
,2
]}

Li, Zeng-ke ^{[1
,2
]}

Yao, Yi-fei ^{[1
,2
]}

机构：

[1] China Univ Min & Technol, Key Lab Land Environm & Disaster Monitoring SBSM, Xuzhou 221116, Peoples R China

[2] China Univ Min & Technol, Sch Environm & Spatial Informat, Xuzhou 221116, Peoples R China

来源：

TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA | 2014年 / 24卷 / 12期

关键词：

deformation monitoring; GPS; Kalman filter; EMD; noise extraction; EMD; DECOMPOSITION; ERRORS;

D O I：

10.1016/S1003-6326(14)63555-X

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

The basic signal model of deformation monitoring with GPS was introduced and the main problems of GPS deformation monitoring in mining area were discussed. For the problem of noise signal extraction in GPS deformation monitoring, the Kalman-EMD method was proposed to obtain the effective deformation signal. The reliability and effectiveness of the methodology were tested and verified by analog signal. The results of experiment in Mongolia show that the accuracy of the proposed GPS deformation monitoring model is equivalent to that of level method.

引用

页码：3949 / 3954

页数：6

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