GNSS interoperability: offset between reference time scales and timing biases

Piriz, R.; Garcia, A.; Tobías, Guillermo; Fernández, Virginia Laura; Tavella, P.; Sesia, I.; Cerretto, Giancarlo; Hahn, Jörg

doi:10.1088/0026-1394/45/6/s14

Cited by 23 publications

(10 citation statements)

References 3 publications

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“…GPS and Galileo adopt different time scales, which are characterized by a relative bias and drift. This topic was investigated in Piriz et al (2008), where the authors evaluated the GPS/Galileo in-orbit validation element (GIOVE) inter-operability for positioning and timing, including an analysis of the experimental Galileo to GPS time offset (EGGTO), which was the experimental version of the Galileo to GPS time offset (GGTO). In Hahn and Powers (2007), the authors described the implementation of GGTO interface and analysed the GGTO development status.…”

Section: Introductionmentioning

confidence: 99%

A statistical characterization of the Galileo-to-GPS inter-system bias

Gioia

Borio

2016

J Geod

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Global navigation satellite system operates using independent time scales and thus inter-system time offsets have to be determined to enable multi-constellation navigation solutions. GPS/Galileo inter-system bias and drift are evaluated here using different types of receivers: two mass market and two professional receivers. Moreover, three different approaches are considered for the inter-system bias determination: in the first one, the broadcast Galileo to GPS time offset is used to align GPS and Galileo time scales. In the second, the inter-system bias is included in the multiconstellation navigation solution and is estimated using the measurements available. Finally, an enhanced algorithm using constraints on the inter-system bias time evolution is proposed. The inter-system bias estimates obtained with the different approaches are analysed and their stability is experimentally evaluated using the Allan deviation. The impact of the inter-system bias on the position velocity time solution is also considered and the performance of the approaches analysed is evaluated in terms of standard deviation and mean errors for both horizontal and vertical components. From the experiments, it emerges that the inter-system bias is very stable and that the use of constraints, modelling the GPS/Galileo inter-system bias behaviour, significantly improves the performance of multi-constellation navigation.

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Section: Introductionmentioning

confidence: 99%

A statistical characterization of the Galileo-to-GPS inter-system bias

Gioia

Borio

2016

J Geod

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“…The GNSS interoperability has been widely studied in terms of reference frame, constellation selection, receiver performance, etc. Pí riz et al [1] analyzed the GPS to Galileo time offset (GGTO) and timing biases of the interoperability between GPS and Galileo In-Orbit Validation Element (GIOVE). Zhang et al [2] introduced the signal-in-space reception to monitor the time offset of GNSS at the time scale of National Time Service Center (NTSC).…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Algorithm for the Interoperability of Global Navigation Satellite Systems

Chen¹,

Zhao²,

Hao³

et al. 2020

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The interoperability of global navigation satellite systems (GNSSs) has a significant impact on the service performance of GNSSs. To evaluate the GNSS interoperability, this paper creates an evaluation algorithm with such modules as space section, user section and environment section. The proposed algorithm evaluates the service performance with several common parameters, namely, the dilution of precision (DOP), navigation satellite system precision (NSSP), navigation satellite system integrity (NSSI), availability and continuity. The parameters of the algorithm could be configured based on the existing GNSS data or our self-developed data. Then, the proposed algorithm was applied to evaluate the service performance of three difference scenarios: Compass-only, Compass + GPS and Compass + GPS + Galileo. The results show that the combination of different GNSSs can greatly improve the service performance of GNSSs in both time and space.

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“…Following the launch of the two experimental Galileo In-Orbit Validation Element (GIOVE) satellites, namely GIOVE-A in December 2005 and GIOVE-B in April 2008, other researchers investigated the combinations between GPS and GIOVE observations (e.g., [13,16,18]). The main focus of those studies was on the determination of the GPS/GIOVE time o set (GGTO) and inter-system bias (ISB) between the two satellite systems.…”

Section: Introductionmentioning

confidence: 99%

Precise Point Positioning using Multi-Constellation GNSS Observations for Kinematic Applications

Rabbou

El-Rabbany

2015

Journal of Applied Geodesy

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Traditional precise point positioning (PPP) is commonly based on un-di erenced ionosphere-free linear combination of Global Positioning System (GPS) observations. Unfortunately, for kinematic applications, GPS often experiences poor satellite visibility or weak satellite geometry in urban areas. To overcome this limitation, we developed a PPP model, which combines the observations of three global navigation satellite systems (GNSS), namely GPS, GLONASS and Galileo. Both undi erenced and between-satellite single-di erence (BSSD) ionosphere-free linear combinations of pseudorange and carrier phase GNSS measurements are processed. The performance of the combined GNSS PPP solution is compared with the GPS-only PPP solution using a real test scenario in downtown Kingston, Ontario. Inter-system biases between GPS and the other two systems are also studied and obtained as a byproduct of the PPP solution. It is shown that the addition of GLONASS observations improves the kinematic PPP solution accuracy in comparison with that of GPS-only solution. However, the contribution of adding Galileo observations is not signi cant due to the limited number of Galileo satellites launched up to date. In addition, BSSD solution is found to be superior to that of traditional un-di erenced model.

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GNSS interoperability: offset between reference time scales and timing biases

Cited by 23 publications

References 3 publications

A statistical characterization of the Galileo-to-GPS inter-system bias

A statistical characterization of the Galileo-to-GPS inter-system bias

An Evaluation Algorithm for the Interoperability of Global Navigation Satellite Systems

Precise Point Positioning using Multi-Constellation GNSS Observations for Kinematic Applications

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