6 August 2003 Global positioning system time-transfer error correction using neural networks
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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.
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Mohamed Mahmoud, Mohamed Mahmoud, } "Global positioning system time-transfer error correction using neural networks", Proc. SPIE 5084, Location Services and Navigation Technologies, (6 August 2003); doi: 10.1117/12.487426; https://doi.org/10.1117/12.487426
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