• DocumentCode
    1330348
  • Title

    An Analytical Approach to Computer-Aided Diagnosis and Tuning of Lossy Microwave Coupled Resonator Filters

  • Author

    Meng, Meng ; Wu, Ke-Li

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • Volume
    57
  • Issue
    12
  • fYear
    2009
  • Firstpage
    3188
  • Lastpage
    3195
  • Abstract
    This paper presents a novel analytical approach to extracting of the coupling matrix of a narrow band general Chebyshev bandpass filter with losses. The approach is very useful for computer aided tuning of a microwave bandpass filter. The concept of phase loading is revealed for the first time in the community of computer aided tuning. The analytical approach consists of three elements: 1) a theoretic formula that leads to a practical scheme for determining the phase loading; 2) a theoretic formula for de-embedding the section of unknown transmission lines at the two ports of a filter; and 3) a theory for determining the unloaded Q of a filter if the loss for each resonator is nearly the same. To make the approach easy to use, some practical techniques for reconstructing rational functions of Y-parameters from a set of filter response are also provided in the paper. The proposed diagnosis approach is applicable to a general coupled resonator filter with losses and therefore can be effectively used in computer aided tuning of high order filters with cross couplings.
  • Keywords
    band-pass filters; circuit analysis computing; matrix algebra; microwave filters; resonator filters; Y-parameters; computer-aided diagnosis; coupling matrix; lossy microwave coupled resonator filters; narrow band general Chebyshev bandpass filter; phase loading; Chebyshev bandpass filter; computer-aided tuning; coupling matrix; coupling matrix extraction;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/TMTT.2009.2033868
  • Filename
    5332268