Abstract
The investigations on low-cost single frequency GPS receivers at the Institute of Engineering Geodesy (IIGS) show that u-blox LEA-6T GPS receivers combined with Trimble Bullet III GPS antennas containing self-constructed L1-optimized choke rings can already obtain an accuracy in the range of millimeters which meets the requirements of geodetic precise monitoring applications (see [27]). However, the quality (accuracy and reliability) of low-cost GPS receiver data, particularly in shadowing environment, should still be improved, since the multipath effects are the major error for the short baselines.
For this purpose, several adjoined stations with low-cost GPS receivers and antennas were set up next to the metal wall on the roof of the IIGS building and measured statically for several days. The time series of three-dimensional coordinates of the GPS receivers were analyzed. Spatial correlations between the adjoined stations, possibly caused by multipath effect, will be taken into account. The coordinates of one station can be corrected using the spatial correlations of the adjoined stations, so that the quality of the GPS measurements is improved.
The developed algorithms are based on the coordinates and the results will be delivered in near-real-time (in about 30 minutes), so that they are suitable for structural health monitoring applications.
References
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© 2016 by De Gruyter
Articles in the same Issue
- Frontmatter
- Research Articles
- A Spatial Analysis of GEOID03 and GEOID09 in Connecticut
- Evidence of Postseismic Deformation Signal of the 2007 M8.5 Bengkulu Earthquake and the 2012 M8.6 Indian Ocean Earthquake in Southern Sumatra, Indonesia, Based on GPS Data
- Source Model from ALOS-2 ScanSAR of the 2015 Nepal Earthquakes
- Improving the Quality of Low-Cost GPS Receiver Data for Monitoring Using Spatial Correlations
- Rapid Mapping Method Based on Free Blocks of Surveys
Articles in the same Issue
- Frontmatter
- Research Articles
- A Spatial Analysis of GEOID03 and GEOID09 in Connecticut
- Evidence of Postseismic Deformation Signal of the 2007 M8.5 Bengkulu Earthquake and the 2012 M8.6 Indian Ocean Earthquake in Southern Sumatra, Indonesia, Based on GPS Data
- Source Model from ALOS-2 ScanSAR of the 2015 Nepal Earthquakes
- Improving the Quality of Low-Cost GPS Receiver Data for Monitoring Using Spatial Correlations
- Rapid Mapping Method Based on Free Blocks of Surveys