[1]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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The Application of Self-adapting Kalman Filtering in Landslides Monitoring Based on GPS
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
15
Number of periods:
2008 06
Page number:
150-152
Column:
Public date:
2008-12-20
- Title:
- The Application of Self-adapting Kalman Filtering in Landslides Monitoring Based on GPS
- CLC:
- P642.22;TP79
- DOI:
- -
- 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.
- 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.
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Last Update:
1900-01-01