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Optimisation of GNSS Networks - Considering Baseline Correlations
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geodesy and Satellite Positioning. WSP Civils, Department of Geographic Information and Asset Management.ORCID iD: 0000-0003-1602-4771
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geodesy and Satellite Positioning.ORCID iD: 0000-0001-7810-8829
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geodesy and Satellite Positioning.ORCID iD: 0000-0002-8792-3646
2017 (English)In: Survey review - Directorate of Overseas Surveys, ISSN 0039-6265, E-ISSN 1752-2706Article in journal, Editorial material (Refereed) Accepted
Abstract [en]

By considering GNSS observations one can perform optimisation according to some pre-defined criteria and come up with the best location of receivers and optimum number of baselines. In practice, it is quite common to neglect the effect of correlations between baselines, and instead assume single-baseline adjusted data in the optimisation procedure. However, in each session of observation usually more than two receivers are simultaneously taking data from a number of common GNSS satellites, implying that the single or double difference observations are correlated. Our study designs an optimal observation plan for a GPS network in Skåne in southern Sweden, with the aim of determining possible displacements. Assuming three receivers in each session of observations leads to correlation between the GPS baselines, and consequently a fully populated weight matrix for each session of observation. A bi-objective optimisation model of precision and reliability is chosen to optimise the variance factor of each session, and eventually, design an observation plan. It is shown in this study that observing 6 out of 10 possible sessions are sufficient to enable the network to detect a 5 mm displacement at each station. Assuming that the double difference phase observations are uncorrelated changes the observation plan by retaining 2 more sessions. However, defining the weight matrix based on the double difference observations requires the correlations to be taken into account, and neglecting them leads to incorrect results.

Place, publisher, year, edition, pages
Taylor & Francis, 2017.
Keyword [en]
correlation, GNSS baselines, network design, displacement, optimisation
National Category
Geotechnical Engineering
Research subject
Geodesy and Geoinformatics
Identifiers
URN: urn:nbn:se:kth:diva-208543DOI: 10.1080/00396265.2017.1342896OAI: oai:DiVA.org:kth-208543DiVA: diva2:1107241
Note

QCR 20170613

Available from: 2017-06-09 Created: 2017-06-09 Last updated: 2017-06-20Bibliographically approved

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Alizadeh Khameneh, Mohammad AminSjöberg, Lars E.Jensen, Anna B. O.
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