• DocumentCode
    3514766
  • Title

    Time-domain noise analysis of linear time-invariant and linear time-variant systems using MATLAB and HSPICE

  • Author

    Terry, Stephen C. ; Blalock, Benjamin J. ; Rochelle, James M. ; Ericson, M. Nance ; Caylor, Sam D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
  • Volume
    3
  • fYear
    2004
  • fDate
    16-22 Oct. 2004
  • Firstpage
    1418
  • Abstract
    A custom simulation tool that combines HSPICE and MATLAB to enable time-domain noise analysis is reported. The simulation technique is based on computing the statistics of a random process by ensemble averaging and is applicable to both linear time-invariant (LTI) and linear time-variant (LTV) systems. MATLAB is used to generate a set of representative noise signals, which are imported into HSPICE for simulation. Once the simulations are complete the results are read back into MATLAB and ensemble statistics are calculated. The MATLAB-generated noise signals have a user-defined white-noise floor and flicker noise corner frequency and thus are suitable for modeling a wide variety of electronic components, including CMOS transistors and resistors. Simulation results of the time-dependent output noise of a gated integrator and the timing resolution of a gated integrator/comparator detector are presented to highlight both the utility and the versatility of the tool.
  • Keywords
    SPICE; flicker noise; high energy physics instrumentation computing; integrating circuits; linear systems; particle detectors; random processes; time-varying systems; white noise; CMOS transistors; HSPICE; MATLAB-generated noise signals; ensemble averaging; ensemble statistics; flicker noise corner frequency; gated integrator-comparator detector; linear time-invariant system; linear time-variant system; random process statistics; resistors; simulation tool; time-dependent output noise; time-domain noise analysis; timing resolution; user-defined white-noise floor; 1f noise; Analytical models; Computational modeling; Computer languages; MATLAB; Noise generators; Random processes; Signal generators; Statistics; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2004 IEEE
  • Conference_Location
    Rome
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-8700-7
  • Electronic_ISBN
    1082-3654
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2004.1462506
  • Filename
    1462506