Stochastic modelling for network-based GPS positioning
Over the past few years the concept of network-based positioning has been developed in support of longer baseline processing compared with 'traditional' single reference station positioning. In fact network-based positioning enables the generation of so-called ‘virtual measurements’,...
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Menay Pty Ltd, PO Box 1237, MILTON, QLD 4064 AUSTRALIA
2003
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Online Access: | http://eprints.utm.my/id/eprint/1171/1/P41_Musa_reviewed.pdf http://eprints.utm.my/id/eprint/1171/ |
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my.utm.11712010-06-01T02:51:40Z http://eprints.utm.my/id/eprint/1171/ Stochastic modelling for network-based GPS positioning Musa, Tajul A Wang, Jinling Rizos, Chris Satirapod, Chalemchorn TA Engineering (General). Civil engineering (General) Over the past few years the concept of network-based positioning has been developed in support of longer baseline processing compared with 'traditional' single reference station positioning. In fact network-based positioning enables the generation of so-called ‘virtual measurements’, which can significantly improve positioning results. Even though the virtual measurements are generated from the stochastic network estimates, the error propagation into the user position solution has not been investigated in any detail. The aim is to understand how the unique stochastic properties of the network corrections propagate into the uncertainties of the estimated parameters. Test results indicate that by using the virtual measurements and considering the propagation of the network stochastic properties can provide reliable results, both in terms of ambiguity resolution and baseline component estimation. Menay Pty Ltd, PO Box 1237, MILTON, QLD 4064 AUSTRALIA 2003-07-22 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1171/1/P41_Musa_reviewed.pdf Musa, Tajul A and Wang, Jinling and Rizos, Chris and Satirapod, Chalemchorn (2003) Stochastic modelling for network-based GPS positioning. Proceedings of the 6th International Symposium on Satellite Navigation Technology Including Mobile Positioning & Location Services, Melbourne, Australia . ISSN 0-646-42494-7 (ISBN) |
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TA Engineering (General). Civil engineering (General) Musa, Tajul A Wang, Jinling Rizos, Chris Satirapod, Chalemchorn Stochastic modelling for network-based GPS positioning |
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Over the past few years the concept of network-based positioning has been developed in support of longer baseline processing compared with 'traditional' single reference station positioning. In fact network-based
positioning enables the generation of so-called ‘virtual measurements’, which can significantly improve positioning results. Even though the virtual measurements are generated from the stochastic network estimates, the error
propagation into the user position solution has not been investigated in any detail. The aim is to understand how the unique stochastic properties of the network corrections propagate into the uncertainties of the estimated parameters. Test results indicate that by using the virtual measurements and considering the propagation of the network stochastic properties can provide
reliable results, both in terms of ambiguity resolution and baseline component estimation. |
format |
Article |
author |
Musa, Tajul A Wang, Jinling Rizos, Chris Satirapod, Chalemchorn |
author_facet |
Musa, Tajul A Wang, Jinling Rizos, Chris Satirapod, Chalemchorn |
author_sort |
Musa, Tajul A |
title |
Stochastic modelling for network-based
GPS positioning |
title_short |
Stochastic modelling for network-based
GPS positioning |
title_full |
Stochastic modelling for network-based
GPS positioning |
title_fullStr |
Stochastic modelling for network-based
GPS positioning |
title_full_unstemmed |
Stochastic modelling for network-based
GPS positioning |
title_sort |
stochastic modelling for network-based
gps positioning |
publisher |
Menay Pty Ltd, PO Box 1237, MILTON, QLD 4064 AUSTRALIA |
publishDate |
2003 |
url |
http://eprints.utm.my/id/eprint/1171/1/P41_Musa_reviewed.pdf http://eprints.utm.my/id/eprint/1171/ |
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1643643268850778112 |
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13.164666 |