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抗差自适应卡尔曼滤波在GPS精密单点定位中的应用
引用本文:李冲,黄观文,谭理,曾衍伟.抗差自适应卡尔曼滤波在GPS精密单点定位中的应用[J].测绘科学,2011,36(4):22-23.
作者姓名:李冲  黄观文  谭理  曾衍伟
作者单位:1. 武汉大学测绘学院,武汉430079;国家测绘产品质量监督检验测试中心,成都610041
2. 长安大学地质工程与测绘工程学院,西安,710054
3. 国家测绘产品质量监督检验测试中心,成都,610041
摘    要:卡尔曼滤波是GPS精密单点定位中最常用的参数估计方法.理论上讲,随着观测数据的增多,通过卡尔曼滤波可以得到更精确的状态估值,但有时由于状态异常或发生大的周跳等原因,使得状态估值与实际状态之间的误差较大,滤波会发生发散现象,为此,本文提出了将抗差自适应滤波模型运用到精密单点定位中,通过算例分析显示,该方法将显著提高定位结...

关 键 词:精密单点定位  卡尔曼滤波  滤波发散  抗差自适应

Adaptive robust Kalman filtering applied in GPS precise point positioning
LI Chong,HUANG Guan-wen,TAN Li,ZENG Yan-wei.Adaptive robust Kalman filtering applied in GPS precise point positioning[J].Science of Surveying and Mapping,2011,36(4):22-23.
Authors:LI Chong  HUANG Guan-wen  TAN Li  ZENG Yan-wei
Institution:②(①Surveying and Mapping College,Wuhan University,Wuhan 430079,China;②National Quality Supervision and Testing Center of Surveying and Mapping Product,Chengdu 610041,China;③College of Geology Engineering and Geomantic,Chang’an University,Xi’an 710054,China)
Abstract:Kalman Filter has been mostly applied in GPS precise point positioning.In theory,more accurate valuation of the state will be estimated by Kalman filter with increasing data,but sometimes due to the occurrence of state abnormalities or cycle slip and other reasons,there is big diversity between the estimation and actual state,that's filter divergence phenomenon.To solve the problems,this paper put forward an adaptively robust filter model,which was applied in precise point positioning later.Numerical example showed that this method could significantly improve the positioning accuracy,and the result would be more steady as well.
Keywords:precise point positioning  Kalman filter  filter divergence  adaptive robust
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