Detection and De-weighting of Multipath-affected Measurements in a GPS/Galileo Combined Solution

Pirsiavash, Ali; Broumandan, Ali; OrKeefe, Kyle

doi:10.1109/euronav.2019.8714191

Cited by 9 publications

(9 citation statements)

References 14 publications

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“…Frequency diversity or multi-GNSS receivers can be used to enhance localization accuracy. From a multi-GNSS constellation approach, [78] adopted a stochastic weighting/exclusion function as well as combining GPS + Galileo signals. Unlike constant (C/N o ) based weighting in [59], a stochastic weighting function was adopted.…”

Section: B Receiver Based Techniquesmentioning

confidence: 99%

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

et al. 2021

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This literature review paper focuses on existing vulnerabilities associated with global navigation satellite systems (GNSSs). With respect to the civilian/non encrypted GNSSs, they are employed for proving positioning, navigation and timing (PNT) solutions across a wide range of industries. Some of these include electric power grids, stock exchange systems, cellular communications, agriculture, unmanned aerial systems and intelligent transportation systems. In this survey paper, physical degradations, existing threats and solutions adopted in academia and industry are presented. In regards to GNSS threats, jamming and spoofing attacks as well as detection techniques adopted in the literature are surveyed and summarized. Also discussed are multipath propagation in GNSS and non line-of-sight (NLoS) detection techniques. The review also identifies and discusses open research areas and techniques which can be investigated for the purpose of enhancing the robustness of GNSS.

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Section: B Receiver Based Techniquesmentioning

confidence: 99%

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

et al. 2021

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“…In GNSS, the available redundant measurements due to the presence of many satellites in the receiver's field of view allow implementing a specific procedure to mitigate multipath, which is based on detecting and excluding the affected measurements. This procedure is known as de-weighting [26,27]: suitable algorithms are needed to detect and de-weight distorted signals, at the same time avoiding significant degradation in the measurement geometry. In fact, a poor geometry may even exacerbate the effects of remaining errors and worsen the ultimate position solution.…”

Section: Gnss Positioningmentioning

confidence: 99%

Hybridized-GNSS Approaches to Train Positioning: Challenges and Open Issues on Uncertainty

Spinsante

Stallo

2020

Sensors

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In recent years, the development of advanced systems and applications has propelled the adoption of autonomous railway traffic and train positioning, with several ongoing initiatives and experimental testbeds aimed at proving the suitability and reliability of the Global Navigation Satellite System signals and services, in this specific application domain. To satisfy the strict safety and accuracy requirements aimed at assuring the position solution’s integrity, availability, accuracy and reliability, recent proposals suggest the hybridization of the Global Navigation Satellite System with other technologies. The integration with localization techniques that are expected to be available with the upcoming fifth generation mobile communication networks is among the most promising approaches. In this work, different approaches to the design of hybrid positioning solutions for the railway sector are examined, under the perspective of the uncertainty evaluation of the attained results and performance. In fact, the way the uncertainty associated to the positioning measurements performed by different studies is reported is often not consistent with the Guide to the Expression of Uncertainty in Measurement, and this makes it very difficult to fairly compare the different approaches in order to identify the best emerging solution. Under this perspective, the review provided by this work highlights a number of open issues that should drive future research activities in this field.

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“…In addition, several algorithm modifications is needed for application of the IM in DFMC SBAS in this environment. For instance, the observations that experience large multipath should be detected and deweighted [15]. Hence, adjusting the value of , to the local multipath conditions.…”

Section: Fig 12mentioning

confidence: 99%