摘要
当观测数据含有粗差时使用单一的GM(1,1)模型不能取得很好的精度,本文在卡尔曼GM(1,1)基础上提出基于卡尔曼GM(1,1)滤波的稳健估计模型。通过对大坝变形监测数据的处理结果可以看出卡尔曼GM(1,1)稳健估计具有更高的精度和效果。
Estimate accuracy can＇ t be enough by using a single GM （ 1, 1 ） model when the observation has gross errors. In this paper, for the purpose of establishing a steady model, a robust estimation model based on the Kalman-GM （1, 1） filter is presented. The robust estimation model is verified by using a set of dam deformation monitoring dada. The results show that the new robust estimation method has higher precision and better effect.
出处
《工程勘察》
2015年第8期58-61,78,共5页
Geotechnical Investigation & Surveying
基金
国家自然科学基金资助项目(41161069)
广西空间信息与测绘重点实验室资助课题(13-051-14-18)
关键词
卡尔曼滤波
GM(1
1)
稳健估计
变形监测
Kalman filter
GM （1, 1） model
robust estimation
deformation monitoring
