Optimal Parameter Inflation to Enhance the Availability of Single-Frequency GBAS for Intelligent Air Transportation

Lee, Halim; Pullen, Sam; Lee, Jiyun; Park, Byoungwoon; Yoon, Moonseok; Seo, Jiwon

doi:10.1109/tits.2022.3157138

Cited by 32 publications

(14 citation statements)

References 31 publications

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“…M UAVs are equipped with receivers capable of measuring RSS of a signal transmitted from the target. It is assumed that UAVs can estimate their own positions through their navigation systems (e.g., GNSS (Misra and Enge, 1994;Sun et al, 2021;Park et al, 2022;Seo and Walter, 2014;Lee et al, 2022b;Park and Seo, 2021;Kwak and Sung, 2018;Kim et al, 2021) or alternative navigation systems (Zhang et al, 2011;Kim et al, 2014;Lee et al, 2019;Huang et al, 2019;Jia et al, 2021;Strandjord et al, 2021;Rhee et al, 2021;Jeong et al, 2020;Kim et al, 2022;Lee et al, 2022d)). When the maximum allowable search time is limited to N seconds, the position of the m-th…”

Section: Problem Descriptionmentioning

confidence: 99%

Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device

Lee,

Seo

2023

Preprint

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Section: Problem Descriptionmentioning

confidence: 99%

Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device

Lee,

Seo

2023

Preprint

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“…However, the developed method had multiway errors which required an innovative degree of arithmetical correlation among frequencies. Lee et al [20] developed an optimum parameter rise to improve the accessibility of individual-frequency GBAS for smart air transportation. The performance of three geometry-screening algorithms was related to four airports with low and mid-latitude areas.…”

Section: Introductionmentioning

confidence: 99%

Overbounding Ifree errors based on bayesian Gaussian mixture model for ground-based augmentation system

Banu,

Shanavas

2024

IJECE

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A dual-frequency measurement is employed in conjunction with an innovative Ifree filtering technique for mitigating the primary sources of Ifree influence on ground-based augmentation systems (GBAS) to safeguard the reliability of GBAS. The protective level achieved through the conventional Gaussian overbounding approach that are considered as much conventional technique. This adherence to tradition results in decreased reliability and a higher likelihood of false alarms. In contrast, the utilization of the Ifree algorithm contributes to reducing errors associated with dual-frequency measurements. This paper proposes the overbounding process according to Bayesian Gaussian mixture model (GMM) for maintaining Ifree-based GBAS range error. The Bayesian GMM is utilized for single-frequency model errors to examine the ambiguity estimations. The Monte Carlo (MC) simulation is established for defining estimated GMM assurance level accuracy which is attained through the general estimation method. Then, the last Bayesian GMM which is utilized for overbounding Ifree error distribution is investigated. According to the property of convolution invariance, the vertical protection in position field is determined without presenting difficult numerical calculations.

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“…Moreover, the SNR prediction from [8] is employed in an urban region to prevent using misleading observations from low SNR satellites in the position estimation. Based on previous research, geometry screening [9], [10] could be established for the worst-case scenario by excluding up to two satellites from the total number of visible satellites and inflating the sigma values to account for any undetected ionospheric errors in the protection level calculation [11]. Another method for improving positioning is to apply partial elevation masks in some direction to the actual environment of the antenna [12].…”

Section: Introductionmentioning

confidence: 99%

Ground Facility Error Analysis and GBAS Performance Evaluation Around Suvarnabhumi Airport, Thailand

Budtho,

Supnithi,

Siansawasdi

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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The performances of Ground-Based Augmentation System (GBAS) designed for landing phase of aircraft rely on the accurate characterization of error models. Among various error sources, the multipath model, which is typically constructed by combining environmental errors at airports, must be modeled in GBAS. However, in practice, the multipath effects at a particular airport differ from other airports due to distinct construction sites and continually changing environments, resulting in inaccurate error model in GBAS operations. Therefore, in this work, we develop and evaluate a two-dimensional ground facility error model from the Global Navigation Satellite System (GNSS) stations at the Suvarnabhumi International Airport in Bangkok, Thailand. The results indicate that the elevation and azimuth grid points require around 7 days of observation data to create the GBAS ground facility error model for GBAS operation. The number of observations per day at each elevation and azimuth grid point will determine the data requirements for the complete building of the two-dimensional ground error model. When the proposed model is applied to the GBAS simulation, it is found that the proposed two-dimensional ground error model reduces the root-mean-square deviation (RMSD) of positioning errors by around 0.4 percent to 3.5 percent when compared to the onedimensional error model and the category B Ground accuracy designator (GAD-B) model, respectively. The maximum vertical protection level (VPL) reduction of the proposed two-dimensional B-value model in comparison with the reference one-dimensional B-value is 0.24 meters, about a 6 percent reduction. I.

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Optimal Parameter Inflation to Enhance the Availability of Single-Frequency GBAS for Intelligent Air Transportation

Cited by 32 publications

References 31 publications

Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device

Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device

Overbounding Ifree errors based on bayesian Gaussian mixture model for ground-based augmentation system

Ground Facility Error Analysis and GBAS Performance Evaluation Around Suvarnabhumi Airport, Thailand

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