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《The Chinese Journal of Geological Hazard and Control》 2017-01
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The gross error detection for GNSS automatic monitoring data based on kalman filter

WEI Shiyu;LI Chuan;Chongqing Engineering Research Center of Automatic Monitoring for Geological Hazards(Chongqing Institute of Geology and Mineral Resources);Chongqing Huadi Engineering Survey and Design Institute;  
Gross error detection has been the key points and difficulties in automatic deformation monitoring data processing,the accurately and effectively gross error detection is the key to make sure that the monitoring data can reflect the real deformation.This paper selected the plane displacement monitoring data as the research object,established the gross error detection model for the coordinates series of monitoring point using kalman filter,and analyzed the progress of gross error detection.Finally,through the actual monitoring data analysis,it verified the accuracy and effectiveness of the model.
【Fund】: 基金项目:基于北斗定位的地质灾害监测设备研发与示范(CQGT-KJ-2014045);; 地质灾害多维度空间形变监测仪研发与示范(CQGT-KJ-2014044)
【CateGory Index】: P228.4
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