Satellite antenna phase center offsets and scale errors in GPS solutions

Zhu, S. Y.; Massmann, F. H.; Yu, Yongqing; Reigber, Ch.

doi:10.1007/s00190-002-0294-1

Cited by 70 publications

(60 citation statements)

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“…[24] Using the rule of thumb from Zhu et al [2003], it is demonstrated that inconsistent biases in block-type-specific satellite offsets cause network scale biases correlated with the satellite constellation. Based on this result, the study confirmed that the rapid scale change detected in GFZ's TIGA data processing is caused by the biases in the IGS standard offsets.…”

Section: Discussionmentioning

confidence: 99%

“…[5] According to the study by Zhu et al [2003], the scale bias Ds caused by the mean offset bias Db of all satellites can be approximately quantified by…”

Section: Network Scale Change Due To Biased Offsetsmentioning

confidence: 99%

“…However, the GPS derived scale is highly correlated with the offset of the transmitter antenna phase center. Zhu et al [2003] pointed out that an offset shift of 1 m for all satellites would lead to 7.8 ppb scale change. A number of publications [Rothacher, 2001;Mader and Czopek, 2002] have shown that the antenna phase center offset values are not known accurately enough.…”

Section: Introductionmentioning

confidence: 99%

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Impact of GPS satellite antenna offsets on scale changes in global network solutions

Gendt

Dick

et al. 2005

Geophysical Research Letters

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[1] In this paper, we demonstrate that biases in the GPS satellite antenna phase center offsets could lead to scale biases in global network solutions, which change along with the observed satellite constellation. To validate the IGS standard offset values, satellite-specific offsets are estimated from GPS data and the network solutions are re-adjusted with these estimates. Both the estimated offsets and the readjusted network scales confirmed that the IGS standard offsets are significantly biased and produce scale changes of more than 1 ppb. From investigations of the offset inhomogeneities among satellites belonging to the same block type, it is strongly recommended that block-typespecific offsets used presently as IGS standard should be replaced by satellite-specific ones.

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Section: Discussionmentioning

confidence: 99%

“…[5] According to the study by Zhu et al [2003], the scale bias Ds caused by the mean offset bias Db of all satellites can be approximately quantified by…”

Section: Network Scale Change Due To Biased Offsetsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of GPS satellite antenna offsets on scale changes in global network solutions

Gendt

Dick

et al. 2005

Geophysical Research Letters

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“…One limiting factor is the uncertainty in locating the effective radiating point for the GPS transmissions from each vehicle [Zhu et al, 2003]. To best reconcile GPS observations with the integrated vehicle path, the local vector between the spacecraft CM and the electrical phase center of the transmit antenna should be accurately modeled.…”

Section: Gps Transmit Antennasmentioning

confidence: 99%

“…Earth's surface of only 5 cm [Springer, 2000;Zhu et al, 2003]. Most of the APC error is removed by differencing measurements between ground stations or absorbed in the solutions for the clock offsets (in undifferenced GPS techniques).…”

Section: Gps Transmit Antennasmentioning

confidence: 99%

Realizing a terrestrial reference frame using the Global Positioning System

et al. 2015

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We describe a terrestrial reference frame (TRF) realization based on Global Positioning System (GPS) data alone. Our approach rests on a highly dynamic, long‐arc (9 day) estimation strategy and on GPS satellite antenna calibrations derived from Gravity Recovery and Climate Experiment and TOPEX/Poseidon low Earth orbit receiver GPS data. Based on nearly 17 years of data (1997–2013), our solution for scale rate agrees with International Terrestrial Reference Frame (ITRF)2008 to 0.03 ppb yr−1, and our solution for 3‐D origin rate agrees with ITRF2008 to 0.4 mm yr−1. Absolute scale differs by 1.1 ppb (7 mm at the Earth's surface) and 3‐D origin by 8 mm. These differences lie within estimated error levels for the contemporary TRF.

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A high-quality, homogenized, global, long-term (1993-2008) DORIS precipitable water data set for climate monitoring and model verification

Bock

Willis

Wang

et al. 2014

J. Geophys. Res. Atmos.

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For the first time a high-quality, consistent, global, long-term data set of zenith tropospheric delay (ZTD) and precipitable water (PW) is produced from Doppler orbitography radiopositioning integrated by satellite (DORIS) measurements at 81 sites. The data set was screened using a two-level procedure. First, postprocessing information is used to apply range checks and outlier checks to ZTD and formal error estimates. Second, outliers are detected by comparing DORIS ZTD with European Centre for Medium-Range Weather Forecasts reanalysis (ERA-Interim) data. These procedures reject 3% and 1% of the data, respectively. A linear drift is evidenced in the screened DORIS ZTD data compared to ERA-Interim and Global Positioning System (GPS) data, which potentially results from biases introduced by the progressive replacement of Alcatel antennas with Starec antennas. The DORIS PW is homogenized by applying a bias correction computed form comparison with ERA-Interim data each time station equipment is changed. The homogenized DORIS data are in excellent agreement with GPS data (correlation of 0.98 and standard deviation of differences of 1.5 kg m À2) and with ERA-Interim and satellite PW data (correlation > 0.95 and standard deviation of differences < 2.7 kg m À2). The agreement with radiosonde data is less good. Preliminary results of water vapor trends and variability are shown for 31 sites with more than 10 years of data. Good consistency is found between DORIS PW trends and ERA-Interim trends, which demonstrates the high potential of the DORIS PW data set for climate monitoring and model verification. The final DORIS PW data set is freely available in the supporting information.

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Satellite antenna phase center offsets and scale errors in GPS solutions

Cited by 70 publications

References 0 publications

Impact of GPS satellite antenna offsets on scale changes in global network solutions

Impact of GPS satellite antenna offsets on scale changes in global network solutions

Realizing a terrestrial reference frame using the Global Positioning System

A high-quality, homogenized, global, long-term (1993-2008) DORIS precipitable water data set for climate monitoring and model verification

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