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Proceedings Paper

Global positioning system time-transfer error correction using neural networks
Author(s): Mohamed Mahmoud
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Paper Abstract

Time-transfer is the process of using a GPS receiver to derive accurate time relative to GPS system time. The GPS receiver clock error establishes the relationship between the receiver’s time and the GPS system time. The main problem here is to estimate the desired range equivalent of receiver clock error. Kalman filter is one of the methods used to estimate the various error components separately using observations made over time. This paper proposes the use of neural networks for the estimation of these error components based on a revised time-transfer error model.

Paper Details

Date Published: 6 August 2003
PDF: 8 pages
Proc. SPIE 5084, Location Services and Navigation Technologies, (6 August 2003); doi: 10.1117/12.487426
Show Author Affiliations
Mohamed Mahmoud, Sheffield Hallam Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 5084:
Location Services and Navigation Technologies
Yilin Zhao, Editor(s)

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