Cooperative-Based Augmentation System Using Bayesian Filtering

Autor(es)

Silva, Paulo R. P. ; Bruno, Marcelo G. S. ; Moraes, Alison O.

• Tipo de documento: Artigo Científico
• Fonte: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY; v. 73, n. 7, p. 14-pg., 2024-07-01.

Resumo

We introduce in this paper a cooperative-based augmentation system for aircraft positioning. To that end, we derive a distributed estimation algorithm for cooperative localization over a network of aircraft that are partially connected by communication links and are also connected to ground-based anchor nodes. The proposed framework assumes that only a subset of the aircraft may have access to GPS measurements to perform local state estimation, and that the different aircraft exchange messages with neighboring nodes on the network to improve their own state estimates. Simulation results show that cooperation significantly reduces the average 3D root mean-square localization error when part of the aircraft are flying dead-reckoning and that the average vertical error cumulative distribution function remains below 4 meters for 95% of time when all aircraft have access to GPS measurements. (AU)

• Processo FAPESP: 17/50115-0 - INCT 2014: tecnologia GNSS no suporte à navegação aérea
• Beneficiário: Joao Francisco Galera Monico
• Modalidade de apoio: Auxílio à Pesquisa - Pesquisa em Políticas Públicas
• Processo FAPESP: 20/09838-0 - BI0S - Brazilian Institute of Data Science
• Beneficiário: João Marcos Travassos Romano
• Modalidade de apoio: Auxílio à Pesquisa - Programa Centros de Pesquisa em Engenharia