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- W2080594998 abstract "Abstract This paper presents a methodology for observing GPS carrier phase data with the least‐squares algorithm and the extended Kalman filter to improve positioning accuracy of the real‐time kinematic GPS (KGPS). The integer least‐squares method is first employed to solve the GPS integer ambiguities, and the extended Kalman filter scheme is then used to find real‐time kinematic position estimates by incorporating with the vehicle kinematics of the user station. Experimental results show that the proposed KGPS algorithm is not only effective in providing more precise position estimates and reducing the detrimental effect of the cycle slip, but also useful for realtime vehicle navigation and high‐accuracy surveying." @default.
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- W2080594998 date "2007-07-01" @default.
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- W2080594998 title "Experimental evaluation of a real‐time kinematic GPS positioning technique" @default.
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- W2080594998 doi "https://doi.org/10.1080/02533839.2007.9671306" @default.
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