RLS-based predictor for latency compensation in DGPS

Differential Global Positioning System (DGPS) is a technique that is frequently used to correct for selective availability (SA) induced ranging errors. However, long sampling periods and the time delay (latency) between the generation of corrections and their application by the user are a fundamenta...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2000-01, Vol.36 (1), p.339-343
Main Author: Deergha Rao, K.
Format: Article
Language:English
Subjects:
Aircraft components
Compensation
Delay effects
Effectiveness
Electronic systems
Error correction
Filters
Global Positioning System
Lattices
Least squares approximation
Least squares method
Least squares methods
Predictive models
Resonance light scattering
Sampling
Sampling methods
Satellite navigation systems
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Summary:Differential Global Positioning System (DGPS) is a technique that is frequently used to correct for selective availability (SA) induced ranging errors. However, long sampling periods and the time delay (latency) between the generation of corrections and their application by the user are a fundamental performance limitation on DGPS. A recursive least squares (RLS) based predictor is suggested to provide future values of SA for latency compensation in DGPS. The efficacy of the predictor is illustrated for different amounts of learning data and sampling rates through collected SA from operational GPS satellite.
ISSN:0018-9251
1557-9603
DOI:10.1109/7.826341