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《Science of Surveying and Mapping》 2011-04
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Adaptive robust Kalman filtering applied in GPS precise point positioning

LI Chong①②,HUANG Guan-wen③,TAN Li②,ZENG Yan-wei②(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)  
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.
【CateGory Index】: P228.4
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【Citations】
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