• DocumentCode
    1854319
  • Title

    Comparison of readout circuitry techniques for data acquisition in raw sensor systems

  • Author

    Aragonés, Raúl ; Álvarez, Paula ; Oliver, Joan ; Ferrer, Carles

  • Author_Institution
    Dept de Microelectron. i Sistemes Electron., Univ. Autonoma de Barcelona (IEEC-UAB), Barcelona, Spain
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1252
  • Lastpage
    1257
  • Abstract
    This paper presents an analog front-end for conditioning and acquiring raw sensors signals for a frequency based converter platform, with low power consumption aim. This platform consists of specific circuits designed to interface not conditioned sensors with efficient frequency to code converters, also implemented for this application. The whole system shapes a readout integrated circuit (ROIC). This ROIC integrates specific capacitance to frequency converters, resistance to voltage converter, and a voltage to frequency converter, in an AMS 0.35 μM ASIC with a total area of 780 μM * 890 μM. This newly frequency acquisition and conditioning technology proves to be very versatile, precise and useful for signal sensor acquisition in scalable structures, improving the monitoring system reliability and performance.
  • Keywords
    application specific integrated circuits; data acquisition; frequency convertors; low-power electronics; readout electronics; ASIC; analog front-end; data acquisition; frequency acquisition; frequency based converter platform; low power consumption; monitoring system performance; monitoring system reliability; raw sensor systems; readout circuitry techniques; readout integrated circuit; resistance-voltage converter; signal sensor acquisition; voltage-frequency converter; CMOS integrated circuits; Capacitance; Frequency conversion; Frequency shift keying; Voltage-controlled oscillators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675549
  • Filename
    5675549