Algorithm for improving mobile terminal measurement accuracy based on Kalman filtering

摘要：

　　According to the characteristics of the coal mining subsidence monitoring, the Kalman filtering model is built based on the coordinates and real-time data acquisition terminal system of coal mining subsidence monitoring automation system.Using the measured data of surface movement observation station, and comparing with the results of the conventional RTK measurement and leveling measurement, the filtered measuring accuracy achieved better improvement, plane and height measurement accuracy can be up to±1.0 cm.This accuracy can basically meet the accuracy requirements of mining subsidence monitoring.

关键词： Mining subsidence monitoring Terminal system Kalman filtering Accuracy analysis

作者: Weicai Lü Fawen Jiang Yufu Hang Yazhou Zhu Xu Yang Xiaoyi Chen Yang Wang Ze Wang

作者单位: School of Geomatics, Anhui University of Science and Technology, Huainan 232001, China Huainan Mining Group Co., Ltd., Huainan 232001, China

会议类型: 国际会议

会议名称: 2015 International Academic Forum for Mine Surveying in China(2015中国国际矿山测量学术论坛)

会议地点: 北京

会议语种:英文

页码: 344-350

在线出版日期: 2015-10-16（万方平台首次上网日期，不代表论文的发表时间）