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Invited article: Digital beam-forming imaging riometer systems.

Farideh Honary1, Steve R Marple, Keith Barratt

  • 1Department of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom. f.honary@lancaster.ac.uk

The Review of Scientific Instruments
|April 5, 2011
PubMed
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New digital imaging riometer systems use field-programmable gate arrays (FPGAs) for advanced signal processing. These systems offer improved precision and spatial resolution for space weather research in polar regions.

Area of Science:

  • Space Physics
  • Radio Science
  • Geophysics

Background:

  • Traditional imaging riometers use analog Butler matrices for beam forming.
  • Operation in remote locations like the Arctic and Antarctic presents unique challenges for system maintenance and diagnosis.

Purpose of the Study:

  • To present the design and operation of a new generation of digital imaging riometer systems.
  • To demonstrate the advantages of field-programmable gate arrays (FPGAs) in riometer technology.
  • To validate digital beam forming techniques and compare system performance.

Main Methods:

  • Development of digital imaging riometer systems centered around FPGAs for digital signal processing and beam forming.
  • Implementation of various antenna configurations: 4x4 and 8x8 filled arrays, and a 63-antenna Mills cross system.

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  • Remote system testing and diagnosis capabilities enabled by FPGA reconfigurability.

    • Main Results:

    • Successful demonstration of a Mills cross antenna array for riometry for the first time.
    • Validation of digital beam forming by comparing cosmic radio source power with theoretical predictions.
    • Digital imaging riometer systems show superior measurement precision for filled arrays and higher spatial resolution for Mills cross configurations compared to analog systems.

    Conclusions:

    • Digital imaging riometers utilizing FPGAs offer significant performance improvements over traditional analog systems.
    • The reconfigurable nature of FPGAs enhances operational capabilities, especially in remote environments.
    • These advanced systems provide better data quality for studying the Earth's ionosphere and magnetosphere.