期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B1
页码：199-204
出版社：Copernicus Publications
摘要：Precise RTK positioning is usually performable only on short length bases, to limit distance correlated biases, as atmosphere and ephemerides. However, it is possible to recover some residual biases also over long distance using appropriate area models, improving the performances of long base RTK positioning up to 100 km base length. Permanent reference station networks are used to estimate the bias model in surveying type applications requiring centimeter accuracy, reducing the worth of traditional single baseline methods. The well known advantages provided by reference station network information include improved modeling of the residual tropospheric, ionospheric and orbit biases. The system state vector, including the parameters of the bias model, is evaluated via Kalman filtering from the undifferenced observation equations. On the rover side, corrections are applied to the observations as single differences, then the model estimates and recovers the undifferentiated residual biases
