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GPS/GLONASS carrier phase elevation-dependent stochastic modelling estimation and its application in bridge monitoring

Xi, Ruijie; Meng, Xiaolin; Jiang, Weiping; An, Xiangdong; Chen, Qusen


Ruijie Xi

Xiaolin Meng

Weiping Jiang

Xiangdong An

Qusen Chen


The Global Positioning System (GPS) based monitoring technology has been recognised as an essential tool in the long-span bridge health monitoring throughout the world in recent years. However, the high observation noise is still a big problem that limits the high precision displacement extraction and vibration response detection. To solve this problem, GPS double-difference model and many other specific function models have been developed to eliminate systematic errors e.g. unmodeled atmospheric delays, multipath effect and hardware delays. However, relatively less attention has been given to the noise reduction in the deformation monitoring area. In this paper, we first proposed a new carrier phase elevation-dependent precision estimation method with Geometry-Free (GF) and Melbourne-Wü bbena (MW) linear combinations, which is appropriate to regardless of Code Division Multiple Access (CDMA) system (GPS) or Frequency Division Multiple Access (FDMA) system (GLONASS). Then, the method is used to estimate the receiver internal noise and the realistic GNSS stochastic model with a group of zero-baselines and short-baselines (served for the GNSS and Earth Observation for Structural Health Monitoring of Bridges (GeoSHM) project), and to demonstrate their impacts on the positioning. At last, the contribution of integration of GPS and GLONASS is introduced to see the performance of noise reduction with multi-GNSS. The results show that the higher level receiver internal noise in cost effective receivers has less influences on the short-baseline data processing. The high noise effects introduced by the low elevation satellite and the geometry variation caused by rising and dropping satellites, can be reduced by 10–20% with the refined carrier phase elevation-dependent stochastic model. Furthermore, based on observations from GPS and GLONASS with the refined stochastic model, the noise can be reduced by 30–40%, and the spurious signals in the real-life bridge displacements tend to be completely eliminated.


Xi, R., Meng, X., Jiang, W., An, X., & Chen, Q. (2018). GPS/GLONASS carrier phase elevation-dependent stochastic modelling estimation and its application in bridge monitoring. Advances in Space Research, 62(9), 2566-2585.

Journal Article Type Article
Acceptance Date Jul 30, 2018
Online Publication Date Aug 7, 2018
Publication Date Nov 1, 2018
Deposit Date Jan 26, 2019
Publicly Available Date Aug 8, 2019
Journal Advances in Space Research
Print ISSN 0273-1177
Electronic ISSN 1879-1948
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 62
Issue 9
Pages 2566-2585
Keywords Space and Planetary Science; Aerospace Engineering
Public URL
Publisher URL


GPSGLONASS-carrier-phase-elevationdependent-stochastic-modelling-estimation-and-its-application-in-bridge-monitoringArticle 2018 (2.4 Mb)

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