Satellite Selection Method for Multi-Constellation GNSS Using Convex Geometry

Blanco-Delgado, Nuria; Nunes, Fernando D.

doi:10.1109/tvt.2010.2072939

Cited by 64 publications

(24 citation statements)

References 11 publications

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“…The satellites are grouped by location and picked averagely in each group. Blanco-Delgado and Nunes [6] used the convex hull of all visible satellites as the best GDOP selection. A two-dimension convex hull-based algorithm called 2D-CH and a three-dimension convex hull-based algorithm called 3D-CH are proposed in [6].…”

Section: Problem Formulationmentioning

confidence: 99%

Fast satellite selection method for multi‐constellation Global Navigation Satellite System under obstacle environments

Peng

2014

IET Radar, Sonar & Navigation

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Satellite selection plays an important role in a multi-constellation Global Navigation Satellite System (GNSS) receiver. A well selected satellite combination can provide better positioning accuracy and lighter computational load. In this study, typical obstacle environments in urban areas and their effects on satellite selection are discussed. A distribution-free satellite selecting method is proposed. The main idea of this proposed method is to expand the selected satellite subset sequentially. The performance of the proposed methods is validated and compared with four other methods by simulation in typical scenarios. Simulation results show that the proposed method is suitable for urban GNSS applications.

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Section: Problem Formulationmentioning

confidence: 99%

Fast satellite selection method for multi‐constellation Global Navigation Satellite System under obstacle environments

Peng

2014

IET Radar, Sonar & Navigation

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“…Also, the widespread approach of selecting the highest satellites, assuming the best signal quality with highest elevation, falls into this category. Another group of algorithms tries to maximize polyhedron volumes or matrix determinants as they correlate well with the geometric dilution of precision (GDOP) of a set. Both of these strategies suffer from the missing possibility to take into account any satellite weighting (eg, due to signal quality) and focus on 3D positioning, making them less suitable in our context.…”

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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“…As a method that can effectively reduce the computational complexity and guarantee similar positioning accuracy with an original solution, the satellite selection algorithm is often used in Single Point Positioning (SPP), which causes us to consider its application in kinematic PPP. There are several mainstream satellite selection methods: the maximum volume algorithm [14], the optimal dilution of precision (DOP) algorithm [13,[15][16][17], the highest elevation angle satellite selection algorithm [18], and the fast-rotating partition satellite selection algorithm [19]. Recently, there have also been some studies devoted to satellite selection.…”

Section: Introductionmentioning

confidence: 99%

New Satellite Selection Approach for GPS/BDS/GLONASS Kinematic Precise Point Positioning

Lan

Gao

et al. 2019

Applied Sciences

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With the development of global satellite navigation systems, kinematic Precise Point Positioning (PPP) is facing the increasing computational load of instantaneous (single-epoch) processing due to more and more visible satellites. At this time, the satellite selection algorithm that can effectively reduce the computational complexity causes us to consider its application in GPS/BDS/GLONASS kinematic PPP. Considering the characteristics of different systems and satellite selection algorithms, we proposed a new satellite selection approach (NSS model) which includes three different satellite selection algorithms (maximum volume algorithm, fast-rotating partition satellite selection algorithm, and elevation partition satellite selection algorithm). Additionally, the inheritance of ambiguity was also proposed to solve the situation of constantly re-estimated integer ambiguity when the satellite selection algorithm is used in PPP. The results show that the NSS model had a centimeter-level positioning accuracy when the original PPP and optimal dilution of precision (DOP) algorithm solution were compared in kinematic PPP based on the data at five multi-GNSS Experiment (MGEX) stations. It can also reduce a huge amount of computation at the same time. Thus, the application of the NSS model is an effective method to reduce the computational complexity and guarantee the final positioning accuracy in GPS/BDS/GLONASS kinematic PPP.

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Satellite Selection Method for Multi-Constellation GNSS Using Convex Geometry

Cited by 64 publications

References 11 publications

Fast satellite selection method for multi‐constellation Global Navigation Satellite System under obstacle environments

Fast satellite selection method for multi‐constellation Global Navigation Satellite System under obstacle environments

Satellite selection in the context of an operational GBAS

New Satellite Selection Approach for GPS/BDS/GLONASS Kinematic Precise Point Positioning

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