• DocumentCode
    864250
  • Title

    High-resolution frequency-domain reflectometry by estimation of modulated superimposed complex sinusoids

  • Author

    Hamme, Hugo Van

  • Author_Institution
    Vrije Univ., Brussels, Belgium
  • Volume
    41
  • Issue
    6
  • fYear
    1992
  • fDate
    12/1/1992 12:00:00 AM
  • Firstpage
    762
  • Lastpage
    767
  • Abstract
    By assuming a parametric model for a linear one-port or two-port, the time-domain resolution of a vector network analyzer can be significantly improved with respect to the Rayleigh limit. The measurement problem is formulated as a nonlinear least squares parameter estimation problem involving the extremization of a cost function. An extremization algorithm with good global convergence properties is presented for the case of discontinuities of small reflectivity modeled as simple lumped frequency-dependent elements. The reflection coefficient at either port of the device under test is modeled as a superposition of modulated complex sinusoids. Through optimization of a sequence of cost functions, the algorithm produces a sequence of fits for models that incorporate an increasing number of discontinuities
  • Keywords
    convergence of numerical methods; least squares approximations; network analysers; optimisation; parameter estimation; reflectometry; Rayleigh limit; cost function; discontinuities; extremization; frequency-domain reflectometry; global convergence; linear one-port; linear two-port; lumped frequency-dependent elements; modulated superimposed complex sinusoids; nonlinear least squares parameter estimation; optimization; parametric model; signal model; superposition; time-domain resolution; vector network analyzer; Convergence; Cost function; Frequency domain analysis; Frequency estimation; Least squares approximation; Parameter estimation; Parametric statistics; Reflectometry; Time domain analysis; Vectors;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.199407
  • Filename
    199407