• DocumentCode
    3468323
  • Title

    Accurate modal decomposition of the multimode high power microwave output using blind optimization

  • Author

    Liu Jing ; Zhang Jun ; Fan Yuwei ; Li Zhiqiang ; Shu Ting

  • Author_Institution
    Coll. of Opticelectric Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    16-21 June 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper, a new approach for the complete modal decomposition of the electric fields emerging from the overmoded high power microwave devices is presented. Based on the simultaneous perturbation stochastic approximation (SPSA) algorithm, mode coefficients of the multimode high power microwave both in interaction region and the output window can be exactly calculated utilizing the field intensity distribution of the electric field. Numerical simulation validates the feasibility and the average reconstruction error is around 0.5%. With this method, mode analysis becomes possible and effective, which is very significant in the development of the high power microwave devices with overmoded slow wave structures, especially for high frequency generation.
  • Keywords
    electric fields; microwave devices; slow wave structures; stochastic processes; SPSA algorithm; blind optimization; electric fields; field intensity distribution; high-frequency generation; interaction region; modal decomposition; mode analysis; mode coefficients; multimode high-power microwave output; overmoded high-power microwave devices; overmoded slow wave structures; reconstruction error; simultaneous perturbation stochastic approximation; Approximation methods; Electric fields; Generators; Image reconstruction; Microwave devices; Plasmas; Mode decomposition; high power microwave devices; overmoded Cerenkov generator; simultaneous perturbation stochastic approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pulsed Power Conference (PPC), 2013 19th IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    2158-4915
  • Type

    conf

  • DOI
    10.1109/PPC.2013.6627560
  • Filename
    6627560