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Refining the remained systematic error in GPS signal using semiparamatric model

WANG Xuanqing LI Keding(Shanghai Geo-fechnical Engineering Defetion Center,Shanghai 200072)  
In order to reduce the influence of the remained systematic error in GPS single positioning on the estimations of the unknown parameters,non-paramatrics are induced to fit the remained systematic error in this paper,that is to use the semiparamatric model to refine the functional model of GPS single positioning.Finally,an example is constructed to explain the method.It is shown by the theory and calculation that the semiparamatric model is not only guaranteed the reliability of the estimated unknown parameters in some degree but also identified the remained systematic error in GPS single positioning.
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