4.5 Article

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

期刊

EARTH AND SPACE SCIENCE
卷 9, 期 10, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2022EA002537

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资金

  1. Romanian Ministry of Research and Innovation [18PCCDI/2018]
  2. National Core Program (LAPLAS 2019)
  3. ESA PRODEX CLUSTER [PEA4000130552]
  4. Belgian Solar Terrestrial Center of Excellence (STCE)
  5. ESA PRODEX MISION [PEA4000134960]
  6. [PN-III-P1-1.1-TE-2019-1288]
  7. [PN-III-P1-1.1-TE-2021-0102]

向作者/读者索取更多资源

Real-time analysis of variability in space data is crucial for scientists and space mission controllers. This paper presents the design and implementation of an automated system for detecting directional discontinuities in physical quantities using Field-Programmable Gate Array (FPGA). The system has been successfully applied to detect directional discontinuities in solar wind and terrestrial magnetosheath magnetic fields.
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.

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