2011
DOI: 10.1179/003962611x13055561708425
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Performance of High Rate Interpolated Data Applied to Gps Kinematic Positioning

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(2 citation statements)
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“…The GNSS observables collected at reference stations for the post-processing positioning are likely to be provided by a public data service on a routine basis with a large sampling interval of 30 seconds. This low-rate data might lead to nonmatching observations with another high-rate data, e.g., sampling interval of one second or five seconds [8]. In this study, the RINEX data files acquired from SHMS station are of one-second sampling interval, while the RINEX data files acquired from the used IGS stations have a sampling interval of 30 seconds.…”
Section: Data Processingmentioning
confidence: 99%
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“…The GNSS observables collected at reference stations for the post-processing positioning are likely to be provided by a public data service on a routine basis with a large sampling interval of 30 seconds. This low-rate data might lead to nonmatching observations with another high-rate data, e.g., sampling interval of one second or five seconds [8]. In this study, the RINEX data files acquired from SHMS station are of one-second sampling interval, while the RINEX data files acquired from the used IGS stations have a sampling interval of 30 seconds.…”
Section: Data Processingmentioning
confidence: 99%
“…In addition, it should be noted that there are a number of implemented algorithms and techniques for pseudorange and carrier phase reference station data interpolation at a high level of accuracy to overcome the sampling interval synchronization problem. In [8] and [9], detailed discussions concerning this issue are presented.…”
Section: Data Processingmentioning
confidence: 99%