• DocumentCode
    1503980
  • Title

    Design optimization of interdigital filters using aggressive space mapping and decomposition

  • Author

    Bandler, John W. ; Biernacki, Radoslaw M. ; Chen, Shao Hua ; Huang, Ya Fei

  • Author_Institution
    Optimization Syst. Associates Inc., Dundas, Ont., Canada
  • Volume
    45
  • Issue
    5
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    761
  • Lastpage
    769
  • Abstract
    This paper presents a new electromagnetic (EM) design methodology which combines two powerful techniques in a coherent strategy: space mapping (SM) and decomposition. An accurate but computationally intensive fine-resolution EM model is used sparingly only to calibrate a less accurate, but computationally much more efficient “coarse model.” Applying this new approach to interdigital filter design, the authors exploit structural decomposition to construct a highly efficient coarse model using a combination of EM models with a coarse grid and empirical models for the noncritical substructures. The authors employ the aggressive SM optimization technique to obtain a rapidly improved design after each fine-model simulation while the bulk of the computation is carried out using the coarse model. To avoid possible oscillation in the iterative process, a penalty function is introduced. Fast and stable convergence to a desirable interdigital filter design is achieved after only three EM fine-model simulations
  • Keywords
    circuit optimisation; iterative methods; microstrip filters; EM fine model simulation; coarse model; convergence; decomposition; electromagnetic design; interdigital filter; iterative process; optimization; penalty function; space mapping; Computational modeling; Computer simulation; Design methodology; Design optimization; Grid computing; Laboratories; Microwave filters; Optimization methods; Resonator filters; Samarium;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/22.575598
  • Filename
    575598