2014
DOI: 10.1016/j.asr.2014.07.016
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Enhancing the kinematic precise orbit determination of low earth orbiters using GPS receiver clock modelling

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Cited by 13 publications
(13 citation statements)
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“…Stable oscillators thus enable a robust clock model and can stabilize the radial orbital component. This concept is simulated for the GRACE mission to model the receiver clock offset, and a 40% improvement in the radial direction is shown (Yang et al 2014).…”
Section: Discussion On Postmission Podmentioning
confidence: 99%
“…Stable oscillators thus enable a robust clock model and can stabilize the radial orbital component. This concept is simulated for the GRACE mission to model the receiver clock offset, and a 40% improvement in the radial direction is shown (Yang et al 2014).…”
Section: Discussion On Postmission Podmentioning
confidence: 99%
“…Hence, the GPS signal will not be affected by the troposphere. More details on how to correct these errors especially for LEO satellite orbit determination can be found in [24].…”
Section: Gps Observation Errors Correctionmentioning
confidence: 99%
“…The dynamic models/parameters used for orbit propagation and corresponding state transition matrix and sensitivity matrix are summarised in Table 2. Various error sources in the observation model equations (see (3)) should be carefully corrected, for example, the carrier phase windup effects, the antenna phase centre offsets, and some other systematic noises [24]. EKF parameter settings are given in Table 3.…”
Section: Grace Data Analysismentioning
confidence: 99%
“…It is reported that the robustness and accuracy of satellite trajectory could be improved by about 40% in the radial direction and 7% in the along-track and cross-track directions, when a 60-s piecewise linear clock model is utilized [13]. Meanwhile, a three-order polynomial model is also available for this situation where the receiver clocks are expressed by offset, frequency offset and frequency drift based on the extended Kalman filter (EKF) solution [14,15]. Comparable results to the linear clock model could be achieved by the polynomial model.…”
Section: Introductionmentioning
confidence: 99%