• DocumentCode
    3490410
  • Title

    Computer-aided tuning and diagnosis of microwave filters using sequential parameter extraction

  • Author

    Pepe, G. ; Görtz, F.J. ; Chaloupka, H.

  • Author_Institution
    Tesat-Spacecom GmbH & Co., Backnang, Germany
  • Volume
    3
  • fYear
    2004
  • fDate
    6-11 June 2004
  • Firstpage
    1373
  • Abstract
    This paper describes an approach to the computer-aided tuning of multiple-coupled resonator filters. The method is based on a sequential parameter extraction and tuning process and employs three different filter models. A detuned model represents the initial status of the filter after a well defined detuning procedure. The target filter is described by the ideal model, whereas the actual state of the filter at each tuning step is represented by a coarse adaptive model. The goal of the procedure is the convergence of the coarse model to the ideal model and will be obtained by systematically centering resonant frequencies and coupling coefficients. Two practical examples comprising a low- and a high-degree filter confirm the effectiveness of the proposed approach.
  • Keywords
    circuit tuning; coupled circuits; electromagnetic coupling; fault simulation; microwave filters; parameter estimation; resonator filters; computer-aided tuning; detuning procedure; electromagnetic coupling; fault diagnosis; filter diagnosis; filter models; ideal model; microwave filters; multiple-coupled resonator filters; parameter estimation; sequential parameter extraction; target filter; waveguide filter; Circuit optimization; Electromagnetic waveguides; Frequency response; Manufacturing; Microwave filters; Parameter extraction; Resonant frequency; Resonator filters; Transmission line matrix methods; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Symposium Digest, 2004 IEEE MTT-S International
  • ISSN
    0149-645X
  • Print_ISBN
    0-7803-8331-1
  • Type

    conf

  • DOI
    10.1109/MWSYM.2004.1338824
  • Filename
    1338824