Abstract

The technology of integer ambiguity resolution-enabled precise-point-positioning (also referred to as PPP-AR) has been proven capable of providing comparable accuracy, efficiency, and productivity to long-baseline real-time kinematic positioning (RTK) during the last decade. Commercial PPP-AR services have been provided by different institutions and companies and have been widely used in geodetic missions. However, the usage and research of the PPP-AR mostly concentrated on nonaviation applications, e.g., vehicle navigation, surveying, and mapping, and monitoring crustal motions. Few of them focused on fixing the ambiguities during an aircraft flight. In this contribution, we implemented the PPP-AR technique for the first time in an airplane flight test to investigate how much the fixed ambiguities could contribute to airplane positioning solutions in challenging circumstances, including high velocity and severe maneuvers. We first looked into the influences of the tropospheric delay on the positioning and ambiguity solutions because the height of the airplane may dramatically change within a narrow time span, and thus, a proper constraint of this parameter was crucial for the computation of the tropospheric effects. Then, how to fix the ambiguities successfully and reliably in challenging circumstances was discussed. Finally, the airplane data was processed in 15 and 1s intervals with ambiguity float and fixed solutions under different configurations to illustrate in which condition and to what extent the fixed ambiguities can improve the airplane positioning accuracy.

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Data Availability Statement

Some data used during the study are available online in accordance with funder data retention policies (Brazilian CORS network): http://geoftp.ibge.gov.br/informacoes_sobre_posicionamento_geodesico/rbmc/dados/.
Some data used during the study were provided by a third party (flight-test data). Direct requests for these materials may be made to the provider (Embraer S.A.) as indicated in the “Acknowledgments.”

Acknowledgments

The first and third authors have received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie-Sklodowska Grant Agreement No. 722023. The flight test was supported by Embraer S.A. with the administration of Agencia Unesp de Inovação (AUIN) and the cooperation of the Federal University of Pernambuco (UFPE) and São Paulo State University (UNESP).

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 147Issue 3August 2021

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Received: Nov 19, 2020
Accepted: Apr 16, 2021
Published online: Jun 10, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 10, 2021

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Ph.D. Candidate, Dept. of Geoscience and Remote Sensing, Delft Univ. of Technology, Mekelweg 5, 2628 CD Delft, Netherlands (corresponding author). ORCID: https://orcid.org/0000-0002-3772-1966. Email: [email protected]
Sandra Verhagen, Ph.D. [email protected]
Assistant Professor, Dept. of Geoscience and Remote Sensing, Delft Univ. of Technology, Mekelweg 5, 2628 CD Delft, Netherlands. Email: [email protected]
Ph.D. Candidate, Fugro Innovation and Technology B.V., Veurse Achterweg 10, 2264 SG Leidschendam, Netherlands. ORCID: https://orcid.org/0000-0002-0829-8644. Email: [email protected]
João Francisco Galera Monico, Ph.D. [email protected]
Professor, Departamento de Engenharia Cartográfica, Universidade Estadual Paulista Júlio de Mesquita Filho, R. Dr. Cyro Bueno, 40-Jardim Cinquentenario, Presidente Prudente, SP 19060-560, Brazil. Email: [email protected]
Haroldo Antonio Marques, Ph.D. [email protected]
Seção de Engenharia Cartográfica, Instituto Militar de Engenharia, Praça Gen. Tibúrcio, 80-Urca, Rio de Janeiro, RJ 22290-270, Brazil. Email: [email protected]

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