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    An integrated energy-efficient capacitive sensor digital interface circuit

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    Type
    Article
    Authors
    Omran, Hesham cc
    Arsalan, Muhammad
    Salama, Khaled N. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Sensors Lab
    Date
    2014-05-23
    Online Publication Date
    2014-05-23
    Print Publication Date
    2014-09
    Permanent link to this record
    http://hdl.handle.net/10754/322003
    
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    Abstract
    In this paper, we propose an energy-efficient 13-bit capacitive sensor interface circuit. The proposed design fully relies on successive approximation algorithm, which eliminates the need for oversampling and digital decimation filtering, and thus low-power consumption is achieved. The proposed architecture employs a charge amplifier stage to acheive parasitic insensitive operation and fine absolute resolution. Moreover, the output code is not affected by offset voltages or charge injection. The successive approximation algorithm is implemented in the capacitance-domain using a coarse-fine programmable capacitor array, which allows digitizing wide capacitance range in compact area. Analysis for the maximum achievable resolution due to mismatch is provided. The proposed design is insensitive to any reference voltage or current which translates to low temperature sensitivity. The operation of a prototype fabricated in a standard CMOS technology is experimentally verified using both on-chip and off-chip capacitive sensors. Compared to similar prior work, the fabricated prototype achieves and excellent energy efficiency of 34 pJ/step.
    Citation
    Omran H, Arsalan M, Salama KN (2014) An integrated energy-efficient capacitive sensor digital interface circuit. Sensors and Actuators A: Physical 216: 43-51. doi:10.1016/j.sna.2014.04.035.
    Publisher
    Elsevier BV
    Journal
    Sensors and Actuators A: Physical
    DOI
    10.1016/j.sna.2014.04.035
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S0924424714002180
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.sna.2014.04.035
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Sensors Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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