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

Abstract

Ground-based Augmentation System (GBAS) augments Global Navigation Satellite Systems (GNSS) to support the precision approach and landing of aircraft. To guarantee integrity, existing single-frequency GBAS utilizes position-domain geometry screening to eliminate potentially unsafe satellite geometries by inflating one or more broadcast GBAS parameters. However, GBAS availability can be drastically impacted in low-latitude regions where severe ionospheric conditions have been observed. Thus, we developed a novel geometry-screening algorithm in this study to improve GBAS availability in low-latitude regions. Simulations demonstrate that the proposed method can provide 5-8 percentage point availability enhancement of GBAS at Galeão airport near Rio de Janeiro, Brazil, compared to existing methods.

arXiv commentSubmitted to IEEE Transactions on Intelligent Transportation Systems

References in corpus (4)

• Enhanced Accuracy Simulator for a Future Korean Nationwide eLoran System
• SFOL DME Pulse Shaping Through Digital Predistortion for High-Accuracy DME
• Single-Antenna-Based GPS Antijamming Method Exploiting Polarization Diversity
• First Demonstration of the Korean eLoran Accuracy in a Narrow Waterway Using Improved ASF Maps

Cited by in corpus (19)

• Urban Road Safety Prediction: A Satellite Navigation Perspective
• Low-Cost GNSS Simulators with Wireless Clock Synchronization for Indoor Positioning
• Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response
• Machine Learning-Based GPS Multipath Detection Method Using Dual Antennas
• Machine-Learning-Based Classification of GPS Signal Reception Conditions Using a Dual-Polarized Antenna in Urban Areas
• Preliminary Analysis of Skywave Effects on MF DGNSS R-Mode Signals During Daytime and Nighttime
• Enhancing eLoran Timing Accuracy via Machine Learning with Meteorological and Terrain Data
• Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device
• Performance Comparison of Numerical Optimization Algorithms for RSS-TOA-Based Target Localization
• Detection of Pedestrian Turning Motions to Enhance Indoor Map Matching Performance
• Ground Truth Generation Algorithm for Medium-Frequency R-Mode Skywave Detection
• Indoor Path Planning for Multiple Unmanned Aerial Vehicles via Curriculum Learning
• Simulation of Medium-Frequency R-Mode Signal Strength
• Empirical Modeling of Variance in Medium Frequency R-Mode Time-of-Arrival Measurements
• Movement Detection of Tongue and Related Body Parts Using IR-UWB Radar
• Efficient Quantum Circuit Encoding of Object Information in 2D Ray Casting
• CSAC Drift Modeling Considering GPS Signal Quality in the Case of GPS Signal Unavailability
• Monocular Vision-Based Swarm Robot Localization Using Equilateral Triangular Formations
• Construction of the Radio Map with Defective GPS Position Information