• DocumentCode
    880573
  • Title

    Calibrating an industrial microwave six-port instrument using the artificial neural network technique

  • Author

    Liu, Yi

  • Author_Institution
    Div. of Miner., CSIRO, Menai, NSW, Australia
  • Volume
    45
  • Issue
    2
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    651
  • Lastpage
    656
  • Abstract
    Microwave six-port devices have been gaining popularity in many industrial on-line microwave measurement instruments. However, the calibration of a six-port device remains a difficult task, particularly if a large dynamic range of the measurement is required. The recent development of the artificial neural network (ANN) provides a powerful tool for nonlinear approximations which can be used to calibrate the six-port devices. An industrial prototype microwave six-port instrument has been calibrated using the ANN technique, which has achieved high accuracy over a wide dynamic range
  • Keywords
    calibration; computerised instrumentation; microwave measurement; neural nets; accuracy; artificial neural network; artificial neural network technique; calibration; dynamic range; industrial microwave six-port instrument; industrial online microwave measurement instruments; industrial prototype; microwave six-port devices; nonlinear approximations; Artificial neural networks; Calibration; Dynamic range; Gain measurement; Instruments; Microwave devices; Microwave measurements; Microwave theory and techniques; Particle measurements; Prototypes;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.492804
  • Filename
    492804