Journal ArticleDOI
Understanding GPS. Principles and Applications
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This article is published in Journal of Atmospheric and Solar-Terrestrial Physics.The article was published on 1997-03-01. It has received 1368 citations till now. The article focuses on the topics: Global Positioning System.read more
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Journal ArticleDOI
The Ionospheric Scintillation Effects on the BeiDou Signal Receiver
TL;DR: A model based on the MPS technique was built and the scintillation impacts on China’s BeiDou navigation system were discussed and it was indicated that the pseudo-range error caused by strong scintillations could be more than 4 m and the consequent impact on positioning accuracy could beMore than 6 m.
Proceedings ArticleDOI
An analysis of positioning and map-matching issues for GNSS-based road user charging
Rafael Toledo-Moreo,Benito Ubeda,José Santa,Miguel A. Zamora-Izquierdo,Antonio F. Gómez-Skarmeta +4 more
TL;DR: This paper analyzes some significant points of a GNSS-based RUC schemes, with a special emphasis on relevant map-matching issues, and proposes proposals for supporting GNSS with aiding onboard sensors and maps and discussions about how the charging reliability may result affected by that.
Proceedings ArticleDOI
Mitigation of GPS multipath error using recursive least squares adaptive filtering
TL;DR: In this paper, multipath error is estimated based on both code and carrier phase measurements using CMC (code minus carrier) method and it is verified with experimental static dual frequency GPS receiver data.
Proceedings ArticleDOI
Single Frequency Precise Point Positioning: Obtaining a map accurate to lane-level
TL;DR: A map of the lanes of a motorway with parametrized lanes is created and it is shown how the positions and the widths of different lanes can be identified from the data.
Posted Content
Robust Incremental State Estimation through Covariance Adaptation
TL;DR: The incremental covariance estimation (ICE) approach is evaluated on several collected data sets, where it is shown to provide a significant increase in localization accuracy when compared to other state-of-the-art robust, incremental estimation algorithms.