• DocumentCode
    651509
  • Title

    An energy efficient inverter based readout circuit for capacitive sensor

  • Author

    Thanh Trung Nguyen ; Hafliger, Philipp

  • Author_Institution
    Dept. of Inf., Univ. of Oslo, Oslo, Norway
  • fYear
    2013
  • fDate
    Oct. 31 2013-Nov. 2 2013
  • Firstpage
    326
  • Lastpage
    329
  • Abstract
    This paper presents a high energy efficient, parasitic free and low complex readout integrated circuit for capacitive sensors. A very low power consumption is achieved by replacing a power hungry operation amplifier by a subthreshold inverter instead in a switched capacitor amplifier(SC-amp) and reducing the supply voltage of all digital circuits in the system. A fast respond finite gain compensation method is utilized to reduce the gain error of the SC-amp and increase the energy efficiency of the readout circuit. A two-step auto calibration is applied to eliminate the offset from nonideal effects of the SC-amp and comparator delay. The readout system is implemented and simulated in TSMC 90 nm CMOS technology. With supply voltage of 1 V, simulation shows that the circuit can achieve 10.4 bit resolution while consuming only 3 μW during 640 μs conversion time. The digital output code has little sensitivity to temperature variation.
  • Keywords
    CMOS integrated circuits; biomedical electronics; calibration; capacitive sensors; readout electronics; TSMC CMOS technology; capacitive sensors; comparator delay; digital circuits; digital output code; energy efficient inverter; finite gain compensation method; gain error reduction; power 3 muW; power consumption; power hungry operation amplifier; readout integrated circuit; size 90 nm; subthreshold inverter; switched capacitor amplifier; temperature variation; time 640 mus; two-step autocalibration; voltage 1 V; voltage supply reduction; Capacitance; Capacitive sensors; Capacitors; Clocks; Gain; Inverters; Power demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
  • Conference_Location
    Rotterdam
  • Type

    conf

  • DOI
    10.1109/BioCAS.2013.6679705
  • Filename
    6679705