• DocumentCode
    1229159
  • Title

    Genetic algorithms based analyses of nonlinearly loaded antenna arrays including mutual coupling effects

  • Author

    Lee, Kun-Chou

  • Author_Institution
    Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Taiwan
  • Volume
    51
  • Issue
    4
  • fYear
    2003
  • fDate
    4/1/2003 12:00:00 AM
  • Firstpage
    776
  • Lastpage
    781
  • Abstract
    Initially, the analysis of a single nonlinearly loaded antenna is transformed into a nonlinear microwave circuit with the circuit elements representing the antenna element and the lumped load. This equivalent circuit is then reformulated into an optimization problem which can be solved by genetic algorithms. The analyses can also be easily extended to finite and infinite nonlinearly loaded antenna arrays including mutual coupling effects. Numerical examples show that the results by genetic algorithms are consistent with those using harmonic balance techniques. With the use of genetic algorithms, our analyses do not require a suitable guess of an initial solution and there exists no gradient operations in the iteration procedures. Therefore, the analyses are suitable for problems of nonlinearly loaded antenna arrays with any types of lumped loads and the array mutual coupling effects are included.
  • Keywords
    antenna theory; electromagnetic coupling; equivalent circuits; genetic algorithms; microwave antenna arrays; microwave circuits; nonlinear network analysis; antenna element; equivalent circuit; genetic algorithms; harmonic balance techniques; iteration procedures; lumped load; mutual coupling effects; nonlinear microwave circuit; nonlinearly loaded antenna arrays; Algorithm design and analysis; Antenna arrays; Equivalent circuits; Genetic algorithms; Linear antenna arrays; Loaded antennas; Microwave antennas; Microwave circuits; Mutual coupling; Scattering;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2003.811102
  • Filename
    1208538