2012•Applied Mechanics and MaterialsRequires access

Research on Carrier Phase Smoothing in GPS Relative Positioning

Wen Zhong, Wei Zhang, Zhi Wang, Yao Rong Li

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Abstract

The principle of the GPS pseudorange relative positioning is analyzed. The carrier phase smoothing algorithm which combines the measured pseudorange and carrier phase components is studied. The accuracy of the pseudorange observables is improved by the algorithm, the ambiguity determination problem is skipped and the solution process is simplified while ensuring the positioning accuracy. A comparison between the result which takes before the smoothing algorithm and the one after the algorithm is made and the validity of the carrier phase smoothing algorithm is proved.

About this research paper

What this paper is about

The principle of the GPS pseudorange relative positioning is analyzed. The carrier phase smoothing algorithm which combines the measured pseudorange and carrier phase components is studied. The accuracy of the pseudorange observables is improved by the algorithm, the ambiguity determination problem is skipped and the solution process is simplified while ensuring the positioning accuracy. A comparison between the result which takes before the smoothing algorithm and the one after the algorithm is made and the validity of the carrier phase smoothing algorithm is proved.

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Available abstract

The principle of the GPS pseudorange relative positioning is analyzed. The carrier phase smoothing algorithm which combines the measured pseudorange and carrier phase components is studied. The accuracy of the pseudorange observables is improved by the algorithm, the ambiguity determination problem is skipped and the solution process is simplified while ensuring the positioning accuracy. A comparison between the result which takes before the smoothing algorithm and the one after the algorithm is made and the validity of the carrier phase smoothing algorithm is proved.

Key concepts: Pseudorange, Smoothing, Global Positioning System, Phase (matter), Algorithm, Computer science, Ambiguity, Mathematical optimization

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