• DocumentCode
    3471783
  • Title

    A 0.5V 16nW 8.08-ENOB SAR ADC for ultra-low power sensor applications

  • Author

    Yong Kui Yang ; Xin Liu ; Jun Zhou ; Jia Hao Cheong ; Minkyu Je ; Wang Ling Goh

  • Author_Institution
    Inst. of Microelectron., Singapore, Singapore
  • fYear
    2013
  • fDate
    9-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This paper presents an ASIC design of ultra-low power SAR ADC. To achieve ultra-low power, the proposed ADC operates at ultra-low voltage, deploying a single-ended structure and top plate sampling technique. In order to improve sampling circuit linearity at ultra-low supply voltage, a bootstrapped switch is developed. A non-binary redundant algorithm is applied to correct the inevitable decision errors in the first few conversion steps. The proposed ADC is fabricated in a 0.18μm CMOS process. From the measurement results, it consumes only 16nW and achieves SNDR of 50.4dB, which is equivalent to an 8.08 ENOB, with 1kS/s sampling rate at 0.5V supply voltage.
  • Keywords
    CMOS integrated circuits; analogue-digital conversion; application specific integrated circuits; biomedical electronics; bootstrap circuits; low-power electronics; medical signal processing; ASIC design; CMOS process; ENOB SAR ADC; SNDR; bootstrapped switch; conversion steps; decision errors; noise figure 50.4 dB; nonbinary redundant algorithm; power 16 nW; sampling circuit linearity; single-ended structure; size 0.18 mum; top plate sampling technique; ultralow power SAR ADC; ultralow power sensor application; ultralow supply voltage; voltage 0.5 V; Arrays; Capacitors; Low-power electronics; Power demand; Switches; Switching circuits; Voltage measurement; Analog-to-digital converter; bootstrapped switch; low power ADC; successive approximation ADC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO), 2013 IEEE MTT-S International
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/IMWS-BIO.2013.6756156
  • Filename
    6756156