Multipath Reduction of Shaft Tower Monitoring with GPS in Mine

Author:

Zhang Ya Ming1,Shi Hao Shan1,Liu Yan2,Liu Chao3

Affiliation:

1. Northwestern Polytechnical University

2. Xidian University

3. China University of Mining and Technology

Abstract

Safe shaft tower operation is an important guarantee for mine production. It’s necessary for monitoring to develop more effective techniques because the traditional measurements are inadequate for the purpose. For this reason, GPS kinematic positioning (RTK) technique was presented to accomplish the task, meanwhile, the main error sources (multipath error) was systematically analyzed. In addition, the Empirical Mode Decomposition (EMD)-Wavelet model was proposed for extracting multipath model. To eliminate the systematic errors, the EMD decomposes the time series to high-frequency part and low-frequency part with the standards of scale selection, which is given in terms of the mean of the accumulated standardized modes, and the tendency of high-frequency part is extracted by Wavelet. Then low-frequency part and the tendency of high-frequency are reconstructed based on EMD theory and the systematic errors mitigation model is demonstrated as well. The scheme of the multipath error reduction based on the EMD-Wavelet is suggested. The experiment shows that the proposed scheme dramatically improves the precision of dynamic coordinate series about 40-70% after multipath error mitigation.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference11 articles.

1. Y.Q. Chen and J Lutes: Journal of Wuhan Technical University of Surveying and Mapping, vol. 23, No. 4(1998), pp.324-328.

2. W.J. Dai, J.J. Zhu and X.L. Ding: Geomatics and Information Science of Wuhan University, vol. 32, No. 3(2007), pp.234-237.

3. S.X. Huang, P.H. Li, B.C. Yang: Geomatics and Information Science of Wuhan University, vol. 30, No. 10(2007), pp.877-880.

4. S.W. Han, C. Rizos: Survey Review, vol. 35, No. 277(2000), pp.487-498.

5. D.F. Huang, X.L. Ding and Y.Q. Chen: Acta Geodaetica et Cartographica sinica, vol. 30, No. 1(2001), pp.36-41.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3