[1]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,2008,15(06):150-152.
GAO Ya-ping,ZHAN Qin.The Application of Self-adapting Kalman Filtering in Landslides Monitoring Based on GPS[J].Research of Soil and Water Conservation,2008,15(06):150-152.
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GAO Ya-ping,ZHAN Qin.The Application of Self-adapting Kalman Filtering in Landslides Monitoring Based on GPS[J].Research of Soil and Water Conservation,2008,15(06):150-152.
方差补偿自适应卡尔曼滤波在GPS滑坡监测中的应用研究
《水土保持研究》[ISSN:1005-3409/CN:61-1272/P]
卷:
15
期数:
2008年06期
页码:
150-152
栏目:
出版日期:
2008-12-20
- Title:
- The Application of Self-adapting Kalman Filtering in Landslides Monitoring Based on GPS
- 分类号:
- P642.22;TP79
- 摘要:
- 卡尔曼滤波是目前处理滑坡监测数据的主要方法。针对传统卡尔曼滤波中动态噪声不准或不容易确定而导致滤波发散的现象，提出用动态噪声的方差阵补偿法对滤波中的方差-协方差误差进行修正，结合三峡实测数据处理，证明该方法能有效地克服滑坡监测数据处理中滤波模型发散的问题。
- Abstract:
- Kalman filter is the most used method of data processing of landslides monitoring in present.Dynamic noise is inaccuracy and it easily lead to model divergence in common Kalman filtering.Based on this shortcoming,the paper mainly put forward the variance-compensation of dynamic noise corrected the error of the variance-covariance in filtering,improves the solution precision.Then combing with the actual data in Three Gorges,it is improved that this method can effectively overcome the divergence of filtering model in landslides monitoring.
参考文献/References:
[1] 邓跃进,张正禄,章传银.自适应卡尔曼滤波在变形监测动态数据处理中的应用[J].武测科技,1996(1):1-4.
[2] 张满生,张学庄,陈保平,等.新型GPS动态定位自适应卡尔曼滤波方法[J].中南工业大学学报,2003(5):433-546.
[3] 田鹏,扬松林,王成龙.基于小波消噪的时序分析改进法在GPS变形监测中的应用[J].测绘科学,2005(6):55-56.
[4] 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.
备注/Memo
收稿日期:2007-4-9;
作者简介:高雅萍（1970- ），女，陕西乾县人，硕士，副教授，研究方向为测量数据处理、GPS技术的应用。E-mail：gyp@cdut.edu.cn
更新日期/Last Update:
1900-01-01