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A New Cycle Slip Detection and Repair Method for Single-Frequency GNSS Data

Published online by Cambridge University Press:  09 May 2018

Qusen Chen ,
Hua Chen ,
Weiping Jiang ,
Xiaohui Zhou  and
Peng Yuan
Qusen Chen
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, Wuhan, China) (Nottingham Geospatial Institute/Sino-UK Geospatial Engineering Centre, The University of Nottingham, Nottingham NG7 2TU, UK)
Hua Chen*
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, Wuhan, China)
Weiping Jiang
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
Xiaohui Zhou
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, Wuhan, China)
Peng Yuan
Affiliation:
(GNSS Research Center, Wuhan University, Wuhan, China)
*
(E-mail: [email protected])
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Abstract

Cycle slip detection for single frequency Global Navigation Satellite System (GNSS) data is currently mainly based on measurement modelling or prediction, which cannot be effectively performed for kinematic applications and it is difficult to detect or repair small cycle slips such as half-cycle slips. In this paper, a new method that is based on the total differential of ambiguity and Least-Squares Adjustment (LSA) for cycle slip detection and repair is introduced and validated. This method utilises only carrier-phase observations to build an ambiguity function. LSA is then conducted for detecting and repairing cycle slips, where the coordinate and cycle slips are obtained successively. The performance of this method is assessed through processing short and long baselines in static and kinematic modes and the impact of linearization and atmospheric errors are analysed at the same time under a controlled variable method. The results indicate this method is very effective and reliable in detecting and repairing multiple cycle slips, especially small cycle slips.

Keywords

Cycle slipDetection and repairSingle-frequencyGNSS
Type
Research Article
Information
The Journal of Navigation , Volume 71 , Issue 6 , November 2018 , pp. 1492 - 1510
Copyright
Copyright © The Royal Institute of Navigation 2018 

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