Multipath analysis of code measurements for BeiDou geostationary satellites

Wang, Guangxing; Jong, Kees de; Zhao, Qile; Hu, Zhigang; Guo, Jing

doi:10.1007/s10291-014-0374-8

Cited by 117 publications

(62 citation statements)

References 23 publications

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“…Taking GEO satellites as an example, the elevation angles of GEO satellites fluctuate degrees because of various perturbations such as solar radiation, daily variations ) and repeat every sidereal day. At the same time, similar fluctuation can be found for MP series and there is significant consistency for MP series between the adjacent 2 days (Wang et al 2015). It has been confirmed that the repetition of satellite geometry is about a sidereal day for GEO and IGSO satellites, but approximately seven sidereal days for MEO satellites (Ye et al 2015).…”

Section: Correlation Analysis For Bds Mp Seriessupporting

confidence: 66%

“…Results indicate that PPP solutions with the improved model outperform the traditional one (Wanninger and Beer 2015) in terms of positioning accuracy and convergence speed. Wang et al (2015) proposed a correction method for GEO satellites by correcting the observables with a low-frequency multipath of the previous day, which mitigate the multipath of GEO satellites. Lou et al (2016) presented an assessment of code bias variations in BDS triple-frequency signals and the ambiguity resolutions, which further illustrated its influence on the ambiguity resolution.…”

Section: Introductionmentioning

confidence: 99%

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BDS code bias periodical mitigation by low-pass filtering and its applications in precise positioning

Zhang

Yuan

et al. 2018

J. Glob. Position. Syst.

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The code-phase divergences, which are minimal for GPS, GLONASS, and Galileo satellites, are commonly found in BeiDou Navigation Satellite System (BDS) Geostationary Orbit (GEO), Inclined GeoSynchronous Orbit (IGSO) and Medium Earth Orbit (MEO) satellites. Several precise positioning applications which use code observations are severely affected by these code biases. We present an analysis of code bias based on multipath (MP) combination observations. To mitigate the effect of BDS code bias on precise positioning, we proposed a periodical correction method using a low-pass filter for BDS GEO, IGSO and MEO satellites. The auto-correlation of MP series over long periods is analyzed to obtain the periods of the dominant repeating components for three types of BDS satellites. The periods of the dominant daily repeating components are close to 86,160 s for BDS GEO and IGSO satellites while 603,120 s for MEO satellites. The zero phase-shift low-pass filter was used to extract the low-frequency components of MP series and then low-frequency components are applied to mitigate the code bias periodically. The developed correction methods can make a more remarkable improvement for the accuracy of MP series, compared to the current elevation-dependent correction models. Data sets collected at 50 Global Navigation Satellite System (GNSS) ground stations including 15 of the International GNSS Monitoring and Assessment System (iGMAS) and 35 of the Multi-GNSS Experiment (MGEX) stations are employed for this study. To analyze the influence of code bias on precise positioning and validate the effectiveness of the correction methods, some applications such as single point positioning (SPP), wide-lane (WL) ambiguity analysis and Uncalibrated Phase Delays (UPDs) estimation are conducted. After applying the proposal correction method to the code observations, SPP solutions outperform the uncorrected ones in term of positioning accuracy. The positioning accuracy decreased by 0.28 and 0.1 m in the north and east components and the improvements are more significant for the U components decreased by 0.42 m. In addition, the systematic variations of Melbourne-Wübbena (MW) combination are greatly removed and the convergence time of the MW series are decreased. Moreover, significant improvement is also achieved in terms of the usage rate and residuals of UPDs estimation.

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Section: Correlation Analysis For Bds Mp Seriessupporting

confidence: 66%

Section: Introductionmentioning

confidence: 99%

BDS code bias periodical mitigation by low-pass filtering and its applications in precise positioning

Zhang

Yuan

et al. 2018

J. Glob. Position. Syst.

View full text Add to dashboard Cite

show abstract

“…For this reason, MP time series are usually used to detect and describe code multipath effects. Recent examples for MP analysis of BeiDou data can be found in Shi et al (2013) and Wang et al (2014). Figure 1 discloses that the MP time series of BeiDou satellites contains additional bias variations which are obviously elevation-dependent and usually absent for other GNSS systems.…”

Section: Code Analysis Based On Mp Observablementioning

confidence: 95%

BeiDou satellite-induced code pseudorange variations: diagnosis and therapy

2014

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Code pseudorange measurements of the Chinese GNSS BeiDou reveal variations which result in codephase divergences of more than 1 m. We have analyzed these delay variations based on observation data of the International GNSS Service and its Multi-GNSS Experiment campaign. Our results confirm that these code variations are elevation-dependent when observed by receiving antennas on the earth's surface. In addition, we found significant differences between two groups of satellites and among carrier frequencies. These delay variations have only little effects on absolute BeiDou positioning using broadcast ephemerides due to the limited accuracy of the obtainable positions. But, all precise applications which use code measurements are severely affected. These applications include, e.g., certain algorithms used in Precise Point Positioning (PPP), especially PPP ambiguity fixing and single-frequency PPP based on the ionospherefree code-carrier combination. We developed a correction model and determined correction parameters in order to accommodate these symptoms. Application examples demonstrate the successful mitigation of these code pseudorange variations.

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“…One can easily choose the subset of WL integer ambiguities to recover the integer property of narrow-lane (NL) ambiguity in the subsequent step since the MW combination is implemented for each satellite pair. This is particularly important for BDS due to the existence of satellite-induced code bias and the systematic multipath effects in GEO satellites [24,25]. The other model is to parameterize the slant ionospheric delay for each satellite (pair), which is also called the uncombined model.…”

Section: Intra-system and Inter-system Observation Modelmentioning

confidence: 99%

Inter-System Differencing between GPS and BDS for Medium-Baseline RTK Positioning

Gao

Pan

et al. 2017

Remote Sensing

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An inter-system differencing model between two Global Navigation Satellite Systems (GNSS) enables only one reference satellite for all observations. If the associated differential inter-system biases (DISBs) are priori known, double-differenced (DD) ambiguities between overlapping frequencies from different GNSS constellations can also be fixed to integers. This can provide more redundancies for the observation model, and thus will be beneficial to ambiguity resolution (AR) and real-time kinematic (RTK) positioning. However, for Global Positioning System (GPS) and the regional BeiDou Navigation Satellite System (BDS-2), there are no overlapping frequencies. Tight combination of GPS and BDS needs to process not only the DISBs but also the single-difference ambiguity of the reference satellite, which is caused by the influence of different frequencies. In this paper, we propose a tightly combined dual-frequency GPS and BDS RTK positioning model for medium baselines with real-time estimation of DISBs. The stability of the pseudorange and phase DISBs is analyzed firstly using several baselines with the same or different receiver types. The dual-frequency ionosphere-free model with parameterization of GPS-BDS DISBs is proposed, where the single-difference ambiguity is estimated jointly with the phase DISB parameter from epoch to epoch. The performance of combined GPS and BDS RTK positioning for medium baselines is evaluated with simulated obstructed environments. Experimental results show that with the inter-system differencing model, the accuracy and reliability of RTK positioning can be effectively improved, especially for the obstructed environments with a small number of satellites available.

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Multipath analysis of code measurements for BeiDou geostationary satellites

Cited by 117 publications

References 23 publications

BDS code bias periodical mitigation by low-pass filtering and its applications in precise positioning

BDS code bias periodical mitigation by low-pass filtering and its applications in precise positioning

BeiDou satellite-induced code pseudorange variations: diagnosis and therapy

Inter-System Differencing between GPS and BDS for Medium-Baseline RTK Positioning

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