2012Unpublished venueRequires access

A comparison of GPS stochastic models on the effect of precise kinematic positioning

Chao Ren, Xianjian Lu

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Abstract

Stochastic model is one of important issues in precise kinematic GPS positioning. Currently several stochastic models have been proposed and applied in precise kinematic GPS positioning. However, different models have different advantages and disadvantanges in terms of performances on the ambiguity resolution. Therefore, it is valuable to compare the effects of different models to ambiguity resolution. In this paper, current GPS stochastic models are analyzed firstly, and three rules are advised to determine which stochastic model should be used in kinematic positioning. Some experimental results are presented to conclude this paper.

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What this paper is about

Stochastic model is one of important issues in precise kinematic GPS positioning. Currently several stochastic models have been proposed and applied in precise kinematic GPS positioning. However, different models have different advantages and disadvantanges in terms of performances on the ambiguity resolution. Therefore, it is valuable to compare the effects of different models to ambiguity resolution. In this paper, current GPS stochastic models are analyzed firstly, and three rules are advised to determine which stochastic model should be used in kinematic positioning. Some experimental results are presented to conclude this paper.

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Available abstract

Stochastic model is one of important issues in precise kinematic GPS positioning. Currently several stochastic models have been proposed and applied in precise kinematic GPS positioning. However, different models have different advantages and disadvantanges in terms of performances on the ambiguity resolution. Therefore, it is valuable to compare the effects of different models to ambiguity resolution. In this paper, current GPS stochastic models are analyzed firstly, and three rules are advised to determine which stochastic model should be used in kinematic positioning. Some experimental results are presented to conclude this paper.

Key concepts: Global Positioning System, Kinematics, Ambiguity resolution, Ambiguity, Real Time Kinematic, Stochastic modelling, Computer science, Precise Point Positioning

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