GNSS Multipath Error Model for Aircraft Surface Navigation Based on Canonical Scenarios for Class F Airports

Valid multipath error model is the prerequisite for high-performance GNSS integrity monitoring. It is indispensable to civil aviation and other Safety-of-Life (SoL) users. The model must perfectly bound multipath error while preventing the constructed model from being too conservative. Nevertheless, no sound methodologies to meet both the requirements have been introduced in previous literatures, and subsequently, practices always require iterative manual trade-offs. To improve the efficiency of multipath modeling, we propose a new automatic multipath error modeling methodology. It quantifies the above requirements in the objective function of multiobjective genetic algorithm (GA) so that multipath modeling can be managed automatically. Moreover, through introducing a new model that is based on two inflation factors, conservatism of modeling results can be significantly reduced. Experiments based on a 4-month dataset of BDS-3 Medium Earth Orbit (MEO) satellites show that constructed multipath models effectively bound actual error in each elevation bin. In addition, the new model form with two inflation factors brings average CDF difference reduction of 67.4% at B1I and 50.6% at B3I, which means significantly mitigation in terms of conservatism.

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GNSS Multipath Error Model for Aircraft Surface Navigation Based on Canonical Scenarios for Class F Airports

Cited by 2 publications

References 3 publications

Including the aircraft and the antenna in a wide band aeronautical LMS channel model

Including the aircraft and the antenna in a wide band aeronautical LMS channel model

Multipath Error Modeling Methodology for GNSS Integrity Monitoring Using a Global Optimization Strategy

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