• DocumentCode
    2239211
  • Title

    Application of the lattice gas automata technique to modelling wave interaction with biological media

  • Author

    Bridges, G.E. ; Simons, N.R.S. ; Cule, D. ; Zhang, M. ; Cuhaci, M.

  • Author_Institution
    Manitoba Univ., Man., Canada
  • Volume
    2
  • fYear
    1997
  • fDate
    14-17 Apr 1997
  • Firstpage
    286
  • Abstract
    We present a new computational electromagnetics technique based on the lattice gas automata approach and show how it can be applied to the simulation of electromagnetic wave interaction with biological systems. The numerical simulation of wave propagation and scattering in electromagnetics has almost universally been approached using a differential equation description of a problem. An alternative and relatively new computational electromagnetics approach are lattice gas automata. A lattice gas automaton (LGA) is an extremely large regular lattice of simple interconnected cells (a few bits per cell), with each cell of the lattice implementing the same simple rule. We have developed and demonstrated LGA algorithms for simulating a variety of electromagnetic propagation and scattering problems. We introduce new algorithms which enable the LGA approach to be used for modelling inhomogeneous dielectric media and show how these can be applied to modelling field interaction with biological systems
  • Keywords
    electromagnetic wave scattering; EM wave propagation; EM wave scattering; LGA algorithms; biological media; biological systems; computational electromagnetics; differential equation; electromagnetic wave interaction; field interaction; inhomogeneous dielectric media; interconnected cells; large regular lattice; lattice gas automata technique; numerical simulation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Antennas and Propagation, Tenth International Conference on (Conf. Publ. No. 436)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-686-5
  • Type

    conf

  • DOI
    10.1049/cp:19970383
  • Filename
    606987