Constrained MLAMBDA Method for Multi-GNSS Structural Health Monitoring

Deformation monitoring of engineering structures using the advanced Global Navigation Satellite System (GNSS) has attracted research interest due to its high-precision, constant availability and global coverage. However, GNSS application requires precise coordinates of points of interest through qui...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-10, Vol.19 (20), p.4462
Main Authors: Li, Haiyang, Nie, Guigen, Chen, Dezhong, Wu, Shuguang, Wang, Kezhi
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Ambiguity
Ambiguity resolution (mathematics)
constraint conditions
Data Collection
Deformation
Geographic Information Systems
Global positioning systems
gnss deformation monitoring
GPS
Humans
integer ambiguity resolution
known priori information
Language
mlambda
Monitoring, Physiologic
multi-gnss
Records
Running - physiology
Satellites
Structural health monitoring
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Summary:Deformation monitoring of engineering structures using the advanced Global Navigation Satellite System (GNSS) has attracted research interest due to its high-precision, constant availability and global coverage. However, GNSS application requires precise coordinates of points of interest through quick and reliable resolution of integer ambiguities in carrier phase measurements. Conventional integer ambiguity resolution algorithms have been extensively researched indeed in the past few decades, although the application of GNSS to structural health monitoring is still limited. In particular, known a priori information related to the structure of a body of interest is not normally considered. This study proposes a composite strategy that incorporates modified least-squares ambiguity decorrelation adjustment (MLAMBDA) method with priori information of the structural deformation. Data from the observation sites of Baishazhou Bridge are used to test method performance. Compared to MLAMBDA methods that do not consider priori information, the ambiguity success rate (ASR) improves by 20% for global navigation satellite system (GLONASS) and 10% for Multi-GNSS, while running time is reduced by 60 s for a single system and 180 s for Multi-GNSS system. Experimental results of Teaching Experiment Building indicate that our constrained MLAMBDA method improves positioning accuracy and meets the requirements of structural health monitoring, suggesting that the proposed strategy presents an improved integer ambiguity resolution algorithm.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19204462