长江科学院院报2012，Vol.29Issue(9)：39-41,3.DOI:10.3969/j.issn.1001-5485.2012.09.009
基于联邦Kalman技术综合提取滑坡监测信息
A Synthetic Extraction of Landslide Monitoring Information Based on Federated Kalman Filter Technology
摘要
Abstract
Currently, the monitoring of landslides is often achieved by arranging multiple monitoring points on the landslide mass. To improve the reliability of landslide prediction making use of all the monitoring data, the technology of no-reset federated Kalman filter is proposed to synthetically extract the monitoring information, and meanwhile the consistent description of landslide is given. This method has such advantages as high fault tolerance and smaller computation. A simulation example shows that it is feasible and effective to apply this method to the fusion of landslide monitoring data of multiple sensors.关键词
联邦卡尔曼滤波/信息提取/滑坡/监测数据Key words
federated Kalman filter/ information extraction/ landslide/ monitoring data分类
天文与地球科学引用本文复制引用
孙波,李计钢,罗文强..基于联邦Kalman技术综合提取滑坡监测信息[J].长江科学院院报,2012,29(9):39-41,3.基金项目
国家重点基础研究发展计划资助“973”计划(2011CB710605) （2011CB710605）
