• DocumentCode
    1610977
  • Title

    Highly reliable analog filter design using analog voting

  • Author

    Askari, Syed ; Nourani, Mehrdad

  • Author_Institution
    Center for Integrated Circuits & Syst., Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    N-Modular Redundancy (NMR) is the most commonly used failure mitigation technique, in which a voting unit is used to vote out the wrong path/data. The voter is, therefore, vital for nanoscale analog and digital circuits in which high defect rate is expected. In this paper, we propose a redundancy based fault-tolerant methodology to design fault tolerant analog filters. The key contribution of our work is an innovative mean voter which is very fast, inexpensive and linearly scalable with respect to the redundancy factor. For the proof of concept, we designed a 4th order high frequency Gm-C filter and a 5th order Opamp-RC filter and reported the circuits reliability.
  • Keywords
    RC circuits; active filters; analogue circuits; band-pass filters; circuit reliability; fault tolerance; low-pass filters; operational amplifiers; redundancy; 4th order high frequency Gm-C filter; 5th order op-amp-RC filter; N-modular redundancy; analog voting unit; bandpass filter; circuit reliability; failure mitigation technique; fault tolerant analog filters; highly reliable analog filter design; low pass filter; mean voter; redundancy based fault tolerant methodology; redundancy factor; Degradation; Integrated circuit reliability; Nuclear magnetic resonance; Q factor; Redundancy; Transistors; Ageing; Degradation; Filters; Mean voter; N-Modular Redundancy; Reliability; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Photonics Conference (SIECPC), 2011 Saudi International
  • Conference_Location
    Riyadh
  • Print_ISBN
    978-1-4577-0068-2
  • Electronic_ISBN
    978-1-4577-0067-5
  • Type

    conf

  • DOI
    10.1109/SIECPC.2011.5876954
  • Filename
    5876954