GPS/Galileo long baseline computation: method and performance analyses

Chu, Feng-Yu; Yang, Ming

doi:10.1007/s10291-013-0327-7

Cited by 25 publications

(15 citation statements)

References 26 publications

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“…It is expected that combining signals from different GNSS systems will result in increasing the accuracy, reliability and availability of precise relative positioning. This will also allow for shortening of the initializa-tion time and extending the allowable distance between the user receiver and reference network stations, mainly due to the increase in the number of the observed satellites (Tiberius et al 2002;Zhao et al 2005;Paziewski et al 2013;Paziewski and Wielgosz 2014;Shi et al 2013;Chu and Yang 2013).…”

Section: Introductionmentioning

confidence: 99%

Accounting for Galileo–GPS inter-system biases in precise satellite positioning

Paziewski

Wielgosz

2014

J Geod

152

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Availability of two overlapping frequencies L1/E1 and L5/E5a of the signals transmitted by GPS and Galileo systems offers the possibility of tightly combining observations from both systems in a single observational model. A tightly combined observational model assumes a single reference satellite for all observations from both Galileo and GPS systems. However, when inter-system double-differenced observations are created, receiver intersystem bias is introduced. This study presents the results and the methodology for estimation and accounting for phase and code GPS-Galileo inter-system bias in precise relative positioning. The research investigates the size and temporal stability of the estimated bias for different receiver pairs as well as examines the influence of accounting for the inter-system bias on the user position solution. The obtained numerical results are based on four experiments carried out at different locations and time periods using both real and simulated GNSS data.

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Section: Introductionmentioning

confidence: 99%

Accounting for Galileo–GPS inter-system biases in precise satellite positioning

Paziewski

Wielgosz

2014

J Geod

152

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“…6 mm (given with typical level) [35] After the distance-dependent errors, namely the DD atmospheric delays and orbital errors, are reduced by the processing strategy in Table 4, the number and distribution of visible satellites, i.e., Inter-satellite-type bias Homogenous receivers (Trimble R9) [34] Observation weighting σ ∆∇P = 60 cm, σ ∆∇Φ = 6 mm (given with typical level) [35] After the distance-dependent errors, namely the DD atmospheric delays and orbital errors, are reduced by the processing strategy in Table 4, the number and distribution of visible satellites, i.e., satellite geometry, and measurement noises including multipath are the major factors affecting ambiguity resolution [36][37][38]. To reflect the influence of code noise on ambiguity resolution, we need to select some test sessions whose code noises are visibly different.…”

Section: Experimental Analysesmentioning

confidence: 99%

BeiDou System (BDS) Triple-Frequency Ambiguity Resolution without Code Measurements

Chu

Yang

2018

Remote Sensing

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Phase and code measurements achieve ambiguity resolution in medium-or long-baseline computation. However, the code multipath effect on Global Navigation Satellite Systems (GNSS) phase and code measurements is a main source of error for ambiguity resolution, in particular the code multipath. The BeiDou System (BDS) of China is fully operational in the Asia-Pacific region and provides triple-frequency (B1, B2 and B3) measurements. Although previous research about BDS triple-frequency baseline computation indicated that using triple-frequency measurements improves the performance of ambiguity resolution, the respective methods are still impacted by code multipath since the code measurements are incorporated in the methods. Therefore, it is of interest to further improve the ambiguity resolution of BDS triple-frequency baseline computation by excluding the code multipath. We propose a modified phase-only method that only uses triple-frequency phase measurements to achieve BDS ambiguity resolution and evaluate the performance of the method. Observations from experimental medium and long baselines were collected with Trimble NetR9 receivers. The related ambiguity-resolution performances are computed with the phase-only method and a generalized phase-code method. The results show that the phase-only ambiguity resolution is feasible and generally performs better than the phase-code ambiguity resolution, but the improvement is subject to phase noise and satellite geometry.

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“…The reference frame for Galileo is the Galileo Terrestrial Reference Frame (GTRF), while the reference frame for GPS is WGS-84. The frequencies of both GPS and Galileo are presented in Table 1 (Chu, Yang 2013;.…”

Section: Gps and Galileomentioning

confidence: 99%

“…This system is still under construction, so the number of available satellite during the performed test was only 11 Galileo satellites. However, even though the Galileo system is still not in full operability it is widely used in many tests (Chu, Yang 2013;, not only in combination with GPS but also with other systems (Li et al 2015;Tegedor et al 2014). The method mainly used is the LAMBDA method.…”

Section: Introductionmentioning

confidence: 99%

Precise positioning in Europe using the Galileo and GPS combination

Kwaśniak

Cellmer

Nowel

2017

Proccedings of 10th International Conference "Environmental Engineering"

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Abstract. For many years American GPS and Russian GLONNAS were the leading navigation systems widely used for navigation purposes. In recent years two new navigational systems have been developed. These systems are the European Galileo system and the Chinese BeiDou System. The full operability of both systems is foreseen for 2020. The full Galileo constellation will consist of 30 Medium Earth Orbit (MEO) satellites. In this paper the GPS and Galileo combination is used to obtain precise positions using the MAFA method. Results from GPS only and GPS+Galileo positioning are presented. In the test 11 Galileo satellites were used. The number of visible GPS satellites during the test was between 8 and 12. For Galileo the number of visible satellites was between 2 to 4, with 4 satellites visible for most of the day. Adding Galileo satellites to GPS reduces the PDOP factor value and improves the DGNSS and RTK results.

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GPS/Galileo long baseline computation: method and performance analyses

Cited by 25 publications

References 26 publications

Accounting for Galileo–GPS inter-system biases in precise satellite positioning

Accounting for Galileo–GPS inter-system biases in precise satellite positioning

BeiDou System (BDS) Triple-Frequency Ambiguity Resolution without Code Measurements

Precise positioning in Europe using the Galileo and GPS combination

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