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    Detecting Discontinuities From In Situ Space Measurements: Method and FPGA Implementation

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    Authors
    Munteanu, C.
    Turicu, D.C.
    Creţ, O.
    Echim, M.
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    Discipline
    Physical sciences
    Subject
    magnetic field directional discontinuities
    on-board monitoring and processing of data
    FPGA-based design
    high-level synthesis (HLS)
    Audience
    Scientific
    Date
    2022
    Metadata
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    Description
    The analysis in real time of space data variability is essential for scientists and space mission controllers. Automated tools designed to extract key descriptors of variability are needed and solutions to adapt such algorithms for on-board computers are rare. This paper describes the design of an automated system for detecting directional discontinuities of a physical quantity and its implementation in Field-Programmable Gate Array (FPGA). The system is currently adapted for solar wind or terrestrial magnetosheath magnetic field directional discontinuities, that is, sharp changes of the magnetic field directionality. Our detection algorithm uses analysis windows of adjustable width and averaging procedures in order to reduce the effects of random fluctuations. A sliding-window approach is designed for continuous monitoring and detection of magnetic directional discontinuities. A software implementation of the algorithm was tested using in-situ magnetic field measurements, and emphasized improvements of performance when using analysis windows of adjustable width. The FPGA implementation of the detection algorithm is built on DILIGENT Nexys 4 DDR featuring a commercial Xilinx Artix-7 device and is designed to be ported to space qualified infrastructure. The FPGA system was tested with synthetic and laboratory signals, and provides results in very good agreement with the software implementation. The FPGA system provides an efficient real-time monitoring solution using minimal computational and energy resources, and reducing the main on-board computer utilization.
    Citation
    Munteanu, C.; Turicu, D.C.; Creţ, O.; Echim, M. (2022). Detecting Discontinuities From In Situ Space Measurements: Method and FPGA Implementation. , Earth and Space Science, Vol. 9, Issue 10, e2022EA002537, DOI: 10.1029/2022EA002537.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/10554
    doi: http://dx.doi.org/10.1029/2022EA002537
    scopus:
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
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