A Comparison of Stochastic Models for GPS Single Differential Kinematic Positioning

Xianglin Liu

Abstract:	GPS data processing requires the specification of the functional and stochastic models. The proper choice of stochastic model is of importance for both adjusting and testing GPS data. Research on GPS functional model has been well-documented in the past two decades, the stochastic model, however, drew the attention only several years ago. Recent research on the stochastic properties of GPS observations has shown a dependence on frequency, elevation and SNR. In addition, the observations may be correlated in time and among each other. In the paper, we will focus on the stochastic model refinements and precision comparisons on single epoch kinematic positioning for short baselines. We will make some modifications on the stochastic model by considering frequency, satellite elevation, correlation and SNR dependence. A simple and purely SNR dependent stochastic model will be introduced. The comparison results will display that different refinements have different gains.
Published in:	Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002) September 24 - 27, 2002 Oregon Convention Center Portland, OR
Pages:	1830 - 1841
Cite this article:	Liu, Xianglin, "A Comparison of Stochastic Models for GPS Single Differential Kinematic Positioning," Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002), Portland, OR, September 2002, pp. 1830-1841.
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