The network-derived ionospheric delay can improve the fast and accurate determination of the long baseline in both the rapid-static and kinematic Global Positioning System (GPS) positioning mode. In this study, an interpolation of the undifferenced (UD) ionospheric delays is performed on a satellite-by-satellite and epoch-by-epoch basis, respectively, using the least-squares collocation (LSC) to provide not only ionospheric delays but also their variances. The developed method retains the simplicity of the two-dimensional (2-D) model, but it does not introduce errors due to the thin-shell assumption made in the single-layered model. Our method also provides flexibility in forming the predicted double-differenced (DD) ionospheric delays. Fas...
Ionospheric delay is a significant error source in multi-GNSS positioning. We present different proc...
In the past few decades, network real-time kinematic (NRTK) positioning technology has developed rap...
The main objective of this thesis is to develop a procedure for modeling and predicting ionospheric ...
© 2006 Dr. Neil E. BrownSatellite-based navigation systems make it possible to determine the relativ...
Although ionosphere-free (IF) combination is usually employed in long-range precise positioning, in ...
This paper deals with the real-time onboard accurate relative positioning by carrier-phase different...
GPS relative navigation filters could benefit notably from an accurate modeling of the ionospheric d...
In addition to absolute orbit determination information, many current and future space missions requ...
A limiting factor for successful ambiguity resolution in precise GPS positioning is the existence of...
The atmosphere in low latitude regions is of particular interest to GPS researchers because the prop...
The ionosphere is one of the largest error sources in GNSS-based positioning, causing a delay in the...
Global navigation satellite sensors can transmit three frequency signals. When the classical three-c...
Uncorrected ionospheric delay is one of the factors limiting the accuracy in geodetic relative posit...
Single-frequency users of the global navigation satellite system (GNSS) must correct for the ionosph...
GPS-transmitted waves are affected by the Earth's atmosphere resulting in a decrease of the measured...
Ionospheric delay is a significant error source in multi-GNSS positioning. We present different proc...
In the past few decades, network real-time kinematic (NRTK) positioning technology has developed rap...
The main objective of this thesis is to develop a procedure for modeling and predicting ionospheric ...
© 2006 Dr. Neil E. BrownSatellite-based navigation systems make it possible to determine the relativ...
Although ionosphere-free (IF) combination is usually employed in long-range precise positioning, in ...
This paper deals with the real-time onboard accurate relative positioning by carrier-phase different...
GPS relative navigation filters could benefit notably from an accurate modeling of the ionospheric d...
In addition to absolute orbit determination information, many current and future space missions requ...
A limiting factor for successful ambiguity resolution in precise GPS positioning is the existence of...
The atmosphere in low latitude regions is of particular interest to GPS researchers because the prop...
The ionosphere is one of the largest error sources in GNSS-based positioning, causing a delay in the...
Global navigation satellite sensors can transmit three frequency signals. When the classical three-c...
Uncorrected ionospheric delay is one of the factors limiting the accuracy in geodetic relative posit...
Single-frequency users of the global navigation satellite system (GNSS) must correct for the ionosph...
GPS-transmitted waves are affected by the Earth's atmosphere resulting in a decrease of the measured...
Ionospheric delay is a significant error source in multi-GNSS positioning. We present different proc...
In the past few decades, network real-time kinematic (NRTK) positioning technology has developed rap...
The main objective of this thesis is to develop a procedure for modeling and predicting ionospheric ...