Refining the remained systematic error in GPS single positioning using semiparamatric model
Wang Shao-min · Engineering of Surveying and Mapping · 2007
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 introduced to show the remained systematic error,that is using the semiparamatric model to refine the functional model of GPS single positioning.Finally,the effectiveness of this method is checked by actual GPS data.The calculation shows that this model not only guarantees the reliability of the estimated parameters in some degree,but also identifies the remained systematic error in GPS single positioning.But Because non-paramatrics model has just been applied in survey data processing,many problems in theory and practice need further study.