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机构地区:[1]School of Information Physics and Geomatics Engineering,Central South University,Changsha 410083,China [2]Geodesy Department,Xi'an Research Institute of Surveying and Mapping,Xi'an 710054,China
出 处:《Science China(Physics,Mechanics & Astronomy)》2011年第6期1022-1028,共7页中国科学:物理学、力学、天文学(英文版)
基 金:supported by the National High Technology Research and Development of China (Grant No.2006AA12Z22);the National Natural Science Foundation of China (Grant No.40604003);the Foundation for Author of National Excellent Doctoral Dissertation of China (Grant No.2007B51);the China Postdoctoral Science Foundation (Grant No.20080430148,2009020444)
摘 要:The truncation error and propagation error are analyzed for velocity determination through differential GPS carrier phase observations,and an approach for the choice of the best number of points for the central difference method is developed.In order to overcome the disadvantages of existing GPS velocity determination methods,a new velocity determination algorithm is presented,based on combining carrier phase and Doppler observations.The basic idea is that two types of observation are combined by adding their normal equations,and their weights are evaluated by strict Helmet variance-components estimation.In order to control the influence of outliers,a bifactor equivalent weights strategy is adopted.To validate this method,GPS data of the airborne gravimetry campaign MEXAGE2001 is tested.The results show that the precision and reliability of velocity determination are obviously improved by using the proposed method.The truncation error and propagation error are analyzed for velocity determination through differential GPS carrier phase observations,and an approach for the choice of the best number of points for the central difference method is developed.In order to overcome the disadvantages of existing GPS velocity determination methods,a new velocity determination algorithm is presented,based on combining carrier phase and Doppler observations.The basic idea is that two types of observation are combined by adding their normal equations,and their weights are evaluated by strict Helmet variance-components estimation.In order to control the influence of outliers,a bifactor equivalent weights strategy is adopted.To validate this method,GPS data of the airborne gravimetry campaign MEXAGE2001 is tested.The results show that the precision and reliability of velocity determination are obviously improved by using the proposed method.
关 键 词:GPS velocity determination central difference data fusion variance components estimation
分 类 号:P228.4[天文地球—大地测量学与测量工程] TQ028.52[天文地球—测绘科学与技术]
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