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
Link To Document :
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