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Constrained MLAMBDA Method for Multi-GNSS Structural Health Monitoring.

Haiyang Li1, Guigen Nie2, Dezhong Chen1

  • 1GNSS Research Center, Wuhan University, Wuhan 430079, China.

Sensors (Basel, Switzerland)
|October 18, 2019
PubMed
Summary

This study enhances Global Navigation Satellite System (GNSS) structural monitoring by integrating prior deformation data with the MLAMBDA method. This improves ambiguity success rates and reduces processing time for precise engineering structure analysis.

Keywords:
GNSS deformation monitoringMLAMBDAconstraint conditionsinteger ambiguity resolutionknown priori informationmulti-GNSS

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Area of Science:

  • Geodesy and Geomatics Engineering
  • Structural Health Monitoring

Background:

  • Global Navigation Satellite System (GNSS) offers high-precision deformation monitoring for structures.
  • Accurate structural monitoring relies on rapid and reliable resolution of integer ambiguities in GNSS carrier phase measurements.
  • Conventional methods often overlook crucial a priori structural information.

Purpose of the Study:

  • To develop an improved GNSS-based deformation monitoring strategy.
  • To enhance integer ambiguity resolution by incorporating structural prior information.
  • To validate the proposed method's performance in real-world structural monitoring scenarios.

Main Methods:

  • A composite strategy combining the modified least-squares ambiguity decorrelation adjustment (MLAMBDA) method with structural deformation prior information.
  • Testing the method using data from Baishazhou Bridge and a Teaching Experiment Building.
  • Comparison with conventional MLAMBDA methods lacking prior information.

Main Results:

  • The proposed constrained MLAMBDA method significantly improved the ambiguity success rate (ASR): 20% for GLONASS and 10% for Multi-GNSS.
  • Processing time was reduced by 60 seconds for single systems and 180 seconds for Multi-GNSS systems.
  • Enhanced positioning accuracy meeting structural health monitoring requirements.

Conclusions:

  • The integration of structural prior information with MLAMBDA offers a superior approach for integer ambiguity resolution.
  • The proposed strategy enhances the reliability and efficiency of GNSS applications in structural health monitoring.
  • This advancement contributes to more precise and dependable deformation monitoring of engineering structures.