• DocumentCode
    741178
  • Title

    Gain-guided optical fibre refractive index synthesis starting from arbitrary modal electric field

  • Author

    Thraskias, C.A. ; Boucouvalas, A.C.

  • Author_Institution
    Dept. of Inf. & Telecommun., Univ. of Peloponnese, Tripoli, Greece
  • Volume
    51
  • Issue
    18
  • fYear
    2015
  • Firstpage
    1435
  • Lastpage
    1437
  • Abstract
    Novel results on how to reconstruct gain-guided optical fibres starting from arbitrary modal electric fields are presented. It is known that gain-guided optical fibre refractive index profiles are described in terms of complex numbers. Therefore, to achieve the design of such fibres from a knowledge of modal electric fields one is required to use complex refractive index profile waveguides, where one can determine the required refractive index profile on both real and imaginary parts of the refractive index. The novelty here is that the reconstruction starts by using complex-valued desired electric fields. This inverse problem is solved via modelling the waveguide transversely as a transmission line and working inversely from the electric field. Example reconstructions of refractive index profiles are offered which are useful for high-power lasers, in designing optical fibres for sensors, where one may require specifically shaped electric fields from a waveguide, and also in refractive index profiling instrumentation.
  • Keywords
    electric fields; inverse problems; laser beam applications; light refraction; number theory; optical fibre communication; optical waveguides; telecommunication transmission lines; arbitrary modal electric fields; complex numbers; complex refractive index profile waveguides; complex-valued desired electric fields; gain-guided optical fibre refractive index synthesis; high-power lasers; inverse problem; refractive index profiling instrumentation; transmission line; transverse waveguide modeling;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2015.1498
  • Filename
    7229576