Accounting for Inter-System Bias in DGNSS Positioning with GPS/GLONASS/BDS/Galileo

Liu, Hui; Shu, Bao; Xu, Lianfei; Qian, Chuang; Zhang, Rufei; Zhang, Ming

doi:10.1017/s0373463316000825

Cited by 29 publications

(27 citation statements)

References 16 publications

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“…Combined use of these satellite constellations can enhance the geometric strength of the GNSS positioning model, and thus has been proven beneficial for improving GNSS precise positioning performance in terms of accuracy, reliability, availability [1][2][3], and initialization time [4,5], especially for applications in obstructed environments [6][7][8]. As a commonly used precise positioning technology, real-time kinematic (RTK) positioning based on the short baselines (less than 20 km) or network reference stations has proven its efficiency and reliability during the past few years.…”

Section: Introductionmentioning

confidence: 99%

“…Using the inter-system differencing model can help to maximize the redundancy if the inter-system biases (ISBs) in range and phase observations can be handled properly [11]. This is essential for positioning in severe observation environments, such as urban areas where signals are easily blocked by high buildings or trees [8,12]. In this case, the number of observed satellites of each single system can be very low.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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“…For practical reasons, we downloaded data from the ISMRs database to a local relational database. So far we have explored data from the 32 satellites in the GPS constellation, which is currently the world's most widely employed satellite navigation system [38] . Nonetheless, the solution we describe is applicable to observations provided by any satellite or monitoring station.…”

Section: (4)mentioning

confidence: 99%

Visual analytics of time-varying multivariate ionospheric scintillation data

Soriano-Vargas

Vani

Shimabukuro

et al. 2017

Computers & Graphics

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We present a clustering-based interactive approach to multivariate data analysis, motivated by the specific needs of scintillation data. Ionospheric scintillation is a rapid variation in the amplitude and/or phase of radio signals traveling through the ionosphere. This spatial and time-varying phenomenon is of great interest since it affects the reception quality of satellite signals. Specialized receivers at strategic regions can track multiple variables related to this phenomenon, generating a database of observations of regional ionospheric scintillation. We introduce a visual analytics solution to support analysis of such data, keeping in mind the general applicability of our approach to similar multivariate data analysis situations. Taking into account typical user questions, we combine visualization and data mining algorithms that satisfy these goals: (i) derive a representation of the variables monitored that conveys their behavior in detail, at multiple user-defined aggregation levels; (ii) provide overviews of multiple variables regarding their behavioral similarity over selected time periods; (iii) support users when identifying representative variables for characterizing scintillation behavior. We illustrate the capabilities of our proposed framework by presenting case studies driven directly by questions formulated by collaborating domain experts.

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“…Based on the presence of ISB, the regular DGNSS model should use separate clock parameters for each system to establish the precision of positioning results and improve the performance of the DGNSS method. Such a real time BeiDou/GLONASS/Galileo model accounting for ISB was proposed by [ 9 ]. Additionally, one should pay attention to the use of GNSS code biases between signals while modeling the ionosphere.…”

Section: Introductionmentioning

confidence: 99%

Network Code DGNSS Positioning for Faster L1–L5 GPS Ambiguity Initialization

Bakuła

Uradziński

Krasuski³

2020

Sensors

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This paper presents DGNSS network code positioning using permanent geodetic networks, commonly used in GNSS measurements. Using several reference stations at the same time allows for the independent control of GNSS positioning and facilitates the more realistic estimation of accuracy. Test calculations were made on the basis of real GPS data, using one TRIMBLE mobile receiver and four nearest reference stations of the ASG-EUPOS geodetic system. In addition, DGNSS positioning computational simulations were performed for a case where one mobile GNSS receiver would be able to be used with two (e.g., GPS + Galileo or GPS + GLONASS) or four different positioning systems and different GNSS reference station systems at the same time. To reduce the deviations of the DGPS positioning from a true value, the Kalman filtering for horizontal coordinates and vertical ones was used. The result shows a significant improvement in DGPS positioning accuracy. Based on the numerical analysis carried out, it can be seen that when four GNSS systems are used, it is possible to achieve a DGNSS accuracy of 0.1 m and 0.2 m for horizontal and height coordinates, respectively, using only code measurements. Additionally, the paper presents the impact of the DGNSS code positioning accuracy on the effectiveness of determining ambiguities of phase observations on individual measurement epochs, using the L1–L5 observations of the GPS system and the precise and fast method of ambiguity resolution (PREFMAR). The developed DGNSS positioning methodology can be applied for reliable GNSS navigation using at least two independent GNSS systems.

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Accounting for Inter-System Bias in DGNSS Positioning with GPS/GLONASS/BDS/Galileo

Cited by 29 publications

References 16 publications

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

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

Visual analytics of time-varying multivariate ionospheric scintillation data

Network Code DGNSS Positioning for Faster L1–L5 GPS Ambiguity Initialization

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