• DocumentCode
    86177
  • Title

    The Design of Parallel Connected Filter Networks With Nonuniform Q Resonators

  • Author

    Meng Meng ; Hunter, Ian C. ; Rhodes, Joshua D.

  • Author_Institution
    Inst. of Microwaves & Photonics, Univ. of Leeds, Leeds, UK
  • Volume
    61
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    372
  • Lastpage
    381
  • Abstract
    A method of designing parallel connected lossy filter networks is introduced. In a parallel connected filter network, each resonator represents one of the poles of the admittance parameters and is independent of the others, thus the dissipation of each resonator can be considered separately. It is observed that some of the resonators are more critical than the others in determining the filter performance. These resonators have to be designed with high-Q technologies while the unloaded Q of the others can be reduced. Gradient-based optimization is used for determining the Q distribution that provides a flat passband insertion loss, as well as a good return loss. The design theory will be presented along with examples of networks, which clearly show that high-performance filters may be constructed with a minimum number of high-Q resonators. Examples using mixed coaxial and microstrip technology are presented.
  • Keywords
    filters; gradient methods; optimisation; resonators; admittance parameters; flat passband insertion loss; gradient-based optimization; high- technologies; microstrip technology; mixed coaxial technology; nonuniform Q resonators; parallel connected lossy filter network design; Bandwidth; Chebyshev approximation; Couplings; Filtering theory; Insertion loss; Passband; Resonant frequency; Coaxial resonators; gradient-based optimization; hairpin microstrip resonator; lossy filters; parallel connected networks;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/TMTT.2012.2230021
  • Filename
    6375776