• DocumentCode
    3280373
  • Title

    Low-voltage process-adaptive logic and memory arrays for ultralow-power sensor nodes

  • Author

    Roy, Kaushik ; Kulkarni, Jaydeep ; Hwang, Myeong

  • Author_Institution
    Purdue Univ., West Lafayette, IN, USA
  • fYear
    2009
  • fDate
    25-28 Oct. 2009
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    We propose process variation tolerant circuit techniques for robust digital subthreshold logic and memory for ultralow power sensor nodes. Based on the concepts developed in this paper, we present an 8×8 process-tolerant FIR filter, working in both superthreshold and subthreshold regions featuring adaptive ß-ratio modulation and integrated level converters. Ultra-dynamic voltage scaling (UVDS) enables the filter operation at 85 mV consuming 40 nW. For memory applications, we propose Schmitt Trigger based SRAM bitcell exhibiting built-in process variation tolerance. Functional SRAM with the proposed memory bitcell is demonstrated at 160 mV in 0.13 ¿m CMOS technology.
  • Keywords
    CMOS digital integrated circuits; FIR filters; SRAM chips; logic arrays; low-power electronics; wireless sensor networks; CMOS technology; Schmitt trigger based SRAM bitcell; adaptive Ã\x9f-ratio modulation; digital subthreshold logic arrays; integrated level converters; low-voltage process-adaptive logic arrays; memory arrays; power 40 nW; process variation tolerant circuit techniques; process-tolerant FIR filter; size 0.13 mum; ultradynamic voltage scaling; ultralow power sensor nodes; voltage 160 mV; voltage 85 mV; wireless sensor nodes; CMOS logic circuits; CMOS technology; Dynamic voltage scaling; Finite impulse response filter; Logic arrays; Logic circuits; MOS devices; Robustness; Sensor arrays; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2009 IEEE
  • Conference_Location
    Christchurch
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-4548-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2009.5398200
  • Filename
    5398200