• DocumentCode
    1722844
  • Title

    Symbolic time-varying root-locus analysis for oscillator design

  • Author

    Zhu, Yan ; Shi, Guoyong ; Lee, Frank ; Tai, Andy

  • Author_Institution
    Sch. of Microelectron., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    The small-signal analysis of an oscillator relative to a periodic steady-state (PSS) would generate periodic time-varying characteristic poles. Analyzing periodic root-loci can provide useful design information, which is not available from the existing circuit simulation tools. Although the numerical QZ algorithm can be used to generate periodic root-loci, this paper proposes an alternative symbolic computation method for repeated pole computation. It is demonstrated that the Muller algorithm can be used for finding the dominant periodic roots of a characteristic polynomial with periodic coefficients, whose efficiency is superior to the matrix-based numerical QZ method. Other advantages of symbolic root-locus analysis also are explored by applying the proposed method to the analysis of two oscillator circuits.
  • Keywords
    matrix algebra; oscillators; root loci; symbol manipulation; Muller algorithm; PSS; characteristic polynomial; circuit simulation tools; matrix-based numerical QZ method; oscillator design; periodic root-loci; periodic steady-state; repeated pole computation; symbolic computation method; symbolic time-varying root-locus analysis; Boolean functions; Computational modeling; Data structures; Integrated circuit modeling; Mathematical model; Oscillators; Polynomials; Muller´s Method; oscillator; periodic poles; symbolic method; time-varying root-locus (TVRL);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2012 IEEE 10th International
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4673-0857-1
  • Electronic_ISBN
    978-1-4673-0858-8
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2012.6328982
  • Filename
    6328982