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基于高差的卡尔曼滤波断高数据处理方法研究
引用本文:叶珉吕,花向红,王俊丰. 基于高差的卡尔曼滤波断高数据处理方法研究[J]. 测绘信息与工程, 2012, 37(6): 43-45,79
作者姓名:叶珉吕  花向红  王俊丰
作者单位:武汉大学测绘学院 武汉大学灾害监测与防治研究中心,武汉市珞喻路129号,430079
摘    要:针对城际铁路观测资料中,对断高数据处理不能准确反映线下工程沉降量的问题,结合卡尔曼滤波模型的优点,提出一种基于高差观测值的卡尔曼滤波模型断高数据处理新方法,并详细阐述了新方法实现的思路和具体步骤。通过武咸城际铁路工程实例验证,比较和分析了新方法与传统方法的结果,得出新方法能够使得观测资料更加真实地反映线下工程实际沉降量的结论,说明了该方法的可行性和有效性。

关 键 词:武咸城际铁路  沉降监测  断高数据处理  卡尔曼滤波模型

A New Kalman Filtering Model Based on Height Difference for Fault Data Processing
YE Minlv,HUA Xianghong,WANG Junfeng. A New Kalman Filtering Model Based on Height Difference for Fault Data Processing[J]. Journal of Geomatics, 2012, 37(6): 43-45,79
Authors:YE Minlv  HUA Xianghong  WANG Junfeng
Affiliation:1 School of Geodesy and Geomatics,Wuhan University; 2 Disaster Monitoring and Prevention of Research Center,Wuhan University,129 Luoyu Road,Wuhan 430079,China)
Abstract:In inter-city railway settlement observations,the traditional method for fault data processing can not accurately and truly reflect the settlement of the project under line.This article proposes a new Kalman filtering model based on height difference for fault data processing and introduces concepts and and the steps of the new method in detail.Verified with the Wu-Xian inter-city railway project,the results of the new method are compared with the traditional method.The new method for inter-city railway can more accurately and truly reflect the settlement of the project under line and it is feasible and effective.
Keywords:Wu-Xian inter-city railway  subsidence monitoring  fault data processing  kalman filtering model
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