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A METHOD FOR EVALUATING GLOBAL NAVIGATION SATELLITE SYSTEM POSITION ACCURACY IN SMALL UNMANNED AIRCRAFT SYSTEMS

Producción científica: Articlerevisión exhaustiva

2 Citas (Scopus)

Resumen

Current standards for Global Navigation Satellite Systems (GNSS) testing are primarily designed for assessing horizontal positioning accuracy in ground-based applications. However, there is a notable absence of guidelines specifically addressing vertical accuracy assessment and applications that extend beyond ground-based scenarios, including those involving small unmanned aircraft systems (UAS). This effort aimed to develop a UAS-based GNSS testing system, tailored for the evaluation of GNSS receiver performance in dynamic low-altitude scenarios. The main objectives included (1) designing a GNSS testing system for UAS applications and (2) validating the system through field testing. The system development consisted of GNSS receiver configuration, data acquisition system design, processing procedures, and UAS payload and base station component design. The UAS payload featured multiple GNSS receivers operating in different modes, and data were collected using a custom Python script on a Raspberry Pi computer. For in-field validation, dynamic flight testing with vertical profiles was conducted. A robotic tracking total station (TTS) was used as the reference instrument for measuring the location of the UAS payload. The findings underscore the system's capabilities, primarily emphasizing its functionality rather than conducting an extensive assessment of the individual GNSS receiver performance. The UAS-based testing system that was developed was capable of satisfying most of the criteria for existing GNSS test standards. The insights derived from this process offer recommendations for standardizing UAS-based GNSS testing methods, with a particular focus on mission design, battery management, data processing, and environmental adaptability.

Idioma originalEnglish
Páginas (desde-hasta)385-399
Número de páginas15
PublicaciónJournal of the ASABE
Volumen67
N.º2
DOI
EstadoPublished - 2024

Nota bibliográfica

Publisher Copyright:
© 2024 American Society of Agricultural and Biological Engineers.

Financiación

This research was supported in part by the National Aeronautics and Space Administration (NASA) Kentucky Space Grant Consortium under NASA award number 80NSSC20M0047, the National Science Foundation (NSF) under award 1932105, and the United States Department of Agriculture National Institute of Food and Agriculture (USDA NIFA) Multistate Project S1069 under accession number 1539070.

FinanciadoresNúmero del financiador
National Aeronautics and Space Administration
Kentucky Space Grant Consortium80NSSC20M0047
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China1932105
US Department of Agriculture National Institute of Food and Agriculture, Agriculture and Food Research Initiative1539070, S1069

    ASJC Scopus subject areas

    • Forestry
    • Food Science
    • Biomedical Engineering
    • Agronomy and Crop Science
    • Soil Science

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