GNSS World of China

Volume 43 Issue 2
Apr.  2018
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CHEN Changkun, JIAO Baowen, QIAO Fang, SHI Changwei, XIAO Ming, SU Di. Study of Surface Movement and Deformation Prediction Based [JZ]on Adaptive Kalman Filtering[J]. GNSS World of China, 2018, 43(2): 20-27. doi: 10.13442/j.gnss.1008-9268.2018.02.004
Citation: CHEN Changkun, JIAO Baowen, QIAO Fang, SHI Changwei, XIAO Ming, SU Di. Study of Surface Movement and Deformation Prediction Based [JZ]on Adaptive Kalman Filtering[J]. GNSS World of China, 2018, 43(2): 20-27. doi: 10.13442/j.gnss.1008-9268.2018.02.004
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Study of Surface Movement and Deformation Prediction Based [JZ]on Adaptive Kalman Filtering

doi: 10.13442/j.gnss.1008-9268.2018.02.004

  • 1.School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan 232001,China

  • GuangDong ZhongGong Architectural Design Institute Co.,Ltd., Guangzhou 510700, China

  • Publish Date: 2018-07-05
    Abstract
  •   Construct a variance compensation adaptive Kalman filter forecasting model, using GNSS CORS to continuously run realtime monitoring data, and compare and analyze the predicted Kalman filtering value, the standard Kalman filter forecast value and the measured data, and obtain the adaptive Kalman filter forecasting bias. Obviously reduced, the accuracy of forecasting has been significantly improved, which meets the accuracy requirements for real-time monitoring of surface movement deformation.

     

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    • References(12)
  • [1]
    崔希璋,於宗俦,陶本藻,等.广义测量平差［M］.2版.武汉:武汉大学出版社,2009.
    [2]
    尹晖.时空变形分析与预报的理论和方法［M］.北京:测绘出版社，2002.
    [3]
    余学祥,吕伟才.GPS监测网动态数据处理抗差Kalman滤波模型［J］.中国矿业大学学报,2000,29(6):553-557.
    [4]
    余学祥,吕伟才.抗差卡尔曼滤波模型及其在GPS监测网中的应用［J］.测绘学报,2001,30(1);27-31.
    [5]
    LU W C,XU S Q.Reasearch on Kahnan filtering algorithm for deformation informantion series of similar single-difference model［J］.Journal of China University of Mining and Technology,2004,14(2):189-194.
    [6]
    余学祥,吕伟才.GPS监测网动态数据处理抗差Kalrnan滤波模型［J］.中国矿业大学学报,2000,29(6):553-557.
    [7]
    杨元喜.动态Kalman滤波模型误差的影响［J］.测绘科学,2006,31(1):17-18.
    [8]
    尹航,朱纪洪,周池军,等.基于Kalman预报观测器的增量动态逆控制［J］.清华大学学报(自然科学版),2011.
    [9]
    贾志军,单甘霖,程兴亚,等.GPS动态定位中的自适应扩展卡尔曼滤波算法［J］.军械工程学院学报,2001(2):39-43.
    [10]
    高雅萍,张勤.方差补偿自适应卡尔曼滤波在GPS滑坡监测中的应用研究［J］.水土保持研究,2008(12): 150-152.
    [11]
    张福荣.自适应卡尔曼滤波在变形监测数据处理中的应用研究［D］.西安:长安大学，2009.
    [12]
    余学祥.煤矿开采沉陷自动化监测系统［M］.北京:测绘出版社，2014.  
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