Satellite Selection Methodology for Horizontal Navigation and Integrity Algorithms

Gerbeth, Daniel; Martini, Ilaria; Rippl, Markus; Felux, Michael

doi:10.33012/2016.14592

Cited by 10 publications

(14 citation statements)

References 11 publications

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“…When a GBAS ground station makes a selection of satellites to broadcast corrections for, these factors should be considered instead of just selecting the satellites that lead to the best performance at a given epoch right at the ground station's location. While the topic of satellite selection in general has been largely covered very recently, this work is not limited to a specific selection algorithm but valid for any kind of selection. The objective is rather to show that satellite selection in GBAS is not largely affected by operational implications that cannot be avoided.…”

Section: Introductionmentioning

confidence: 99%

Satellite selection in the context of an operational GBAS

et al. 2019

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When incorporating multiple constellations into future ground based augmentation systems (GBAS), a problem with limited VDB (VHF data broadcast) capacity might arise. Furthermore, the number of airborne receiver tracking channels could be insufficient to use all visible satellites. One way to cope with these issues is to perform a satellite selection to limit the number of used satellites with minor impact on performance. This paper investigates different factors that constrain the approach of simply selecting "the best set in every epoch" and shows how to overcome some limitations. These constraints include limitations in satellite visibility, loss of satellites during approach (i.e. in curves), and convergence times in the airborne processing until satellites are usable. Various protection level simulations are performed to show the influence of the named factors on the nominal performance. Taking into account all these contextual influences, results show satellite selection is still applicable in GBAS ground stations. NAVIGATION. 2019;66:227-238. wileyonlinelibrary.com/journal/navi

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Section: Introductionmentioning

confidence: 99%

Satellite selection in the context of an operational GBAS

et al. 2019

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“…There are several methods to reduce ARAIM complexity. One way consists in performing satellite selection: the receiver only uses a subset of all the satellites that are in view [2], [3]. This approach reduces the overall receiver computational load for any GNSS based system, and reduces the number of subsets for ARAIM.…”

Section: Introductionmentioning

confidence: 99%

“…These proposed methods significantly reduce the number of subsets. However, except for [2], which only covers a very specific configuration, the list of subsets is dynamic, that is, it is dependent on the values of Pconst and Psat.…”

Section: Introductionmentioning

confidence: 99%

Fixed Subset Selection to Reduce Advanced RAIM Complexity

Blanch¹,

Walter²,

Enge³

2018

The International Technical Meeting of the the Institute of Navigation

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Advanced RAIM has the potential of achieving global coverage of vertical guidance, even with large probabilities of satellite fault. To achieve this performance, airborne receivers will need to take into account a large number of fault modes resulting from the combination of single satellite and single constellation faults. Baseline implementations of ARAIM require the computation of a subset position solution (or at least the associated error covariance) per fault mode, which can result in a large computational burden. Consolidating the fault modes can reduce the list of subsets very significantly. This paper proposes to use a fixed set of subsets for a dual constellation configuration. This approach has two advantages: it simplifies the algorithm (the list of subsets is no longer dynamic), and it reduces the computational load. For a baseline GPS -Galileo configuration, the number of subsets is reduced from several thousands to less than seventy with a minimal impact on availability.

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“…However, lacking of low satellites can significantly increase the Vertical Dilution of Precision (VDOP), which in turn increases VPL and impacts the GBAS integrity. The brute method can choose the optimal satellite subset that minimizes VPL; however, this approach has a significant computational cost, which is not feasible in practical application [ 8 ]. The GDOP method chooses the final satellite subset with the minimum GDOP.…”

Section: Introductionmentioning

confidence: 99%

A Method to Reduce Non-Nominal Troposphere Error

Wang

Xin

et al. 2017

Sensors

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Under abnormal troposphere, Ground-Based Augmentation System (GBAS) is unable to eliminate troposphere delay, resulting in non-nominal troposphere error. This paper analyzes the troposphere meteorological data of eight International GNSS Monitoring Assessment System (iGMAS) stations and 10 International GNSS Service (IGS) stations in China and records the most serious conditions during 2015 and 2016. Simulations show that the average increase in Vertical Protection Level (VPL) of all visible satellites under non-nominal troposphere is 2.32 m and that more satellites increase the VPL. To improve GBAS integrity, this paper proposes a satellite selection method to reduce the non-nominal troposphere error. First, the number of satellites in the optimal subset is determined to be 16 based on the relationship among VPL, non-nominal troposphere error and satellite geometry. Second, the distributions of the optimal satellites are determined. Finally, optimal satellites are selected in different elevation ranges. Results show that the average VPL increase caused by non-nominal troposphere error is 1.15 m using the proposed method. Compared with the brute method and greedy method, the running rate of the proposed method is improved by 390.91% and 111.65%, respectively. In summary, the proposed method balances the satellite geometry and non-nominal troposphere error while minimizing the VPL and improving the running rate.

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Satellite Selection Methodology for Horizontal Navigation and Integrity Algorithms

Cited by 10 publications

References 11 publications

Satellite selection in the context of an operational GBAS

Satellite selection in the context of an operational GBAS

Fixed Subset Selection to Reduce Advanced RAIM Complexity

A Method to Reduce Non-Nominal Troposphere Error

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