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Optimizing the number of double-differenced observations for GPS networks in support of deformation monitoring applications


Janssen, V, Optimizing the number of double-differenced observations for GPS networks in support of deformation monitoring applications, GPS Solutions, 4, (3) pp. 41-46. ISSN 1080-5370 (2001) [Refereed Article]


Copyright Statement

Copyright 2001 John Wiley & Sons, Inc

DOI: doi:10.1007/PL00012854


Deformation monitoring using GPS is usually carried out by installing and operating a local network of GPS receivers mounted on the deforming body, e.g., the flanks of a volcano. For continuous monitoring applications a near-real-time, epoch-by-epoch solution obtained from multi-baseline processing is desired in order to take into account between-baseline correlations and to detect movements over as short a period of time as possible. In the case of the volcano monitoring application, the sides of the volcano will block out part of the sky, hence the receivers are not likely to track a lot of satellites that are visible from all receiver stations at the same time. If the usual base-station/base-satellite approach is used in the baseline processing, only the common satellites are considered, resulting in the number of possible doubledifferenced observables being comparatively low; hence a lot of valuable information may be lost. The proposed method, based on the work by Saalfeld (1999), considers satellites that are visible from a small number of network stations only. Thus the number of independent doubledifferenced observables can be maximized in order to obtain a better solution. A numerical example is given that verifies the improved solutions that can be obtained using this data processing approach.

Item Details

Item Type:Refereed Article
Research Division:Earth Sciences
Research Group:Geophysics
Research Field:Geodesy
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Janssen, V (Dr Volker Janssen)
ID Code:33352
Year Published:2001
Web of Science® Times Cited:1
Deposited By:Geography and Environmental Studies
Deposited On:2005-07-08
Last Modified:2014-06-05
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