Flight tests of GPS/GLONASS precise positioning versus dual frequency KGPS profile

Tsujii, Toshiaki; Harigae, Masatoshi; Inagaki, Toshiharu; Kanai, T.

doi:10.1186/bf03352289

Cited by 18 publications

(16 citation statements)

References 2 publications

(3 reference statements)

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“…The accuracy, availability and reliability of PPP positioning results however are quite dependent on the number of visible satellites. Under environments of urban canyons, mountains and open-pit mines, for instance, the number of visible GPS satellites is often insufficient for position determination (Tsujii, 2000). Further, even in the open area where sufficient GPS satellites are available, the PPP accuracy and reliability may still insufficient due to poor satellite geometry.…”

Section: Introductionmentioning

confidence: 99%

Precise Point Positioning Using Combined GPS and GLONASS Observations

Cai¹,

Gao²

2007

J. of GPS

140

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Precise Point Positioning (PPP) is currently based on the processing of only GPS observations. Its positioning accuracy, availability and reliability are very dependent on the number of visible satellites, which is often insufficient in the environments such as urban canyons, mountain and open-pit mines areas. Even in the open area where sufficient GPS satellites are available, the accuracy and reliability could still be affected by poor satellite geometry. One possible way to increase the satellite signal availability and positioning reliability is to integrate GPS and GLONASS observations. Since the International GLONASS Experiment (IGEX-98) and the follow-on GLONASS Service Pilot Project (IGLOS), the GLONASS precise orbit and clock data have become available. A combined GPS and GLONASS PPP could therefore be implemented using GPS and GLONASS precise orbits and clock data. In this research, the positioning model of PPP using both GPS and GLONASS observations is described. The performance of the combined GPS and GLONASS PPP is assessed using the IGS tracking network observation data and the currently available precise GLONASS orbit and clock data. The positioning accuracy and convergence time are compared between GPS-only and combined GPS/GLONASS processing. The results have indicated an improvement on the position convergence time but correlates to the satellite geometry improvement. The results also indicate an improvement on the positioning accuracy by integrating GLONASS observations.

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Section: Introductionmentioning

confidence: 99%

Precise Point Positioning Using Combined GPS and GLONASS Observations

Cai¹,

Gao²

2007

J. of GPS

140

View full text Add to dashboard Cite

show abstract

“…For example, due to the non-constant group delay characteristic of the GLONASS RF front-end, the inter-channel hardware biases vary across the different GLONASS channels (Felhauer, 1997). These biases were identified at the beginning of GLONASS receiver development (Raby & Daly, 1993), and have been also noticed in both GLONASS pseudoranges and carrier phases from various receivers (for example, Dodson, Moore, Baker, & Swann, 1999;Jonkman, de Jong, & Pfister, 1998;Kozlov & Tkachenko, 1998;Tsujii, Harigae, Inagaki, & Kanai, 1999;Wang, 1998a). Some GLONASS receiver manufacturers are investigating strategies to reduce the magnitude of interchannel biases (e.g., Felhauer, 1997;Neumann, Bates, & Harvey, 1999).…”

Section: Mathematical Melmmentioning

confidence: 99%

“…In combined GPS and GLONASS data processing, down-weighting the GLONASS measurements is a common practice (e.g., Hall, Burke, Pratt, & Misra, 1997;Kozlov & Tkachenko 1998;Tsujii et al, 1999;Wang, 1998a). Therefore, a realistic stochastic model is critical for integrated GPS and GLONASS positioning.…”

Section: Stochastic N/iqdelinomentioning

confidence: 99%

GPS and GLONASS Integration: Modeling and Ambiguity Resolution Issues

et al. 2001

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The integration of GPS with GLONASS may be considered a major milestone in satellite-based positioning, because it can dramatically improve the reliability and productivity of said positioning. However, unlike GPS, GLONASS satellites transmit signals at different frequencies, which result in significant complexity in terms of modeling and ambiguity resolution for integrated GPS and GLONASS positioning systems. In this paper, a variety of mathematical and stochastic modeling methodologies and ambiguity resolution strategies are analyzed, and some remaining research challenges are identified. The exercise, of developing mathematical models and processing methodologies for integrated systems based on more than one satellite system, is a valuable one as it identifies crucial issues concerned with the combination of any two or more microwave positioning systems, be they satellite-based or terrestrial. Hence these are experiences that can be applied to future projects that might integrate GPS with Galileo, or GLONASS and Galileo, or all three.

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“…Nevertheless, the accuracy and reliability of PPP results are dependent on the number of visible satellites (Hofmann-Wellenhof, 2007). Under the environments of mountains, urban canyons as well as open pit mines, for instance, the number of visible GPS satellites is often not sufficient for position assessment (Tsujii, 2000). Further, even in the open areas where sufficient GPS satellites are available, the accuracy and reliability of PPP solutions may still be insufficient due to very poor geometry of satellites in space (Cai, 2009).…”

Section: Introductionmentioning

confidence: 99%

GPS and Glonass Combined Static Precise Point Positioning (Ppp)

Pandey

Dwivedi

Dikshit

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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With the rapid development of multi-constellation Global Navigation Satellite Systems (GNSSs), satellite navigation is undergoing drastic changes. Presently, more than 70 satellites are already available and nearly 120 more satellites will be available in the coming years after the achievement of complete constellation for all four systems-GPS, GLONASS, Galileo and BeiDou. The significant improvement in terms of satellite visibility, spatial geometry, dilution of precision and accuracy demands the utilization of combining multi-GNSS for Precise Point Positioning (PPP), especially in constrained environments. Currently, PPP is performed based on the processing of only GPS observations. Static and kinematic PPP solutions based on the processing of only GPS observations is limited by the satellite visibility, which is often insufficient for the mountainous and open pit mines areas. One of the easiest options available to enhance the positioning reliability is to integrate GPS and GLONASS observations. This research investigates the efficacy of combining GPS and GLONASS observations for achieving static PPP solution and its sensitivity to different processing methodology. Two static PPP solutions, namely standalone GPS and combined GPS-GLONASS solutions are compared. The datasets are processed using the open source GNSS processing environment gLAB 2.2.7 as well as magicGNSS software package. The results reveal that the addition of GLONASS observations improves the static positioning accuracy in comparison with the standalone GPS point positioning. Further, results show that there is an improvement in the three dimensional positioning accuracy. It is also shown that the addition of GLONASS constellation improves the total number of visible satellites by more than 60% which leads to the improvement of satellite geometry represented by Position Dilution of Precision (PDOP) by more than 30%.

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Flight tests of GPS/GLONASS precise positioning versus dual frequency KGPS profile

Cited by 18 publications

References 2 publications

Precise Point Positioning Using Combined GPS and GLONASS Observations

Precise Point Positioning Using Combined GPS and GLONASS Observations

GPS and GLONASS Integration: Modeling and Ambiguity Resolution Issues

GPS and Glonass Combined Static Precise Point Positioning (Ppp)

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