• DocumentCode
    611580
  • Title

    Handle variability in numerical exposure assessment: The Challenge of the Stochastic Dosimetry

  • Author

    Wiart, Joe ; Conil, E. ; Hadjem, Abdelhamid ; Jala, M. ; Kersaudy, Pierric ; Varsier, N.

  • Author_Institution
    Orange Labs., Whist Lab., Issy-les-Moulineaux, France
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    1979
  • Lastpage
    1981
  • Abstract
    Since 20 years large efforts have been spent to assess numerically the exposure induced by wireless communication systems. Taking advantage of the improvement of computers, large efforts have been carried out to improve the numerical methods and models used to assess the electric field and the SAR in tissues exposed. Today the versatile use of wireless systems has brought large variability in possible exposure configurations. In spite of progress in high-performance computing the needed computational time does not allow using methods such as Monte Carlo. To overcome this difficulty the exposure can be considered as a polynomial expansion with a model based on the Polynomial Chaos (PC). In this paper, the PC is used to characterize the exposure for two configurations. The efficiency and accuracy of such a method in dosimetry is also discussed.
  • Keywords
    Monte Carlo methods; dosimetry; numerical analysis; polynomials; radio networks; stochastic processes; synthetic aperture radar; Monte Carlo; PC; SAR; electric field; handle variability; numerical exposure assessment; numerical methods; polynomial chaos; polynomial expansion; stochastic dosimetry; wireless communication systems; wireless systems; Computational modeling; Dosimetry; Finite difference methods; Numerical models; Polynomials; Time-domain analysis; Wireless communication; Computational; Dosimetry; SAR; Statistic; Variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2013 7th European Conference on
  • Conference_Location
    Gothenburg
  • Print_ISBN
    978-1-4673-2187-7
  • Electronic_ISBN
    978-88-907018-1-8
  • Type

    conf

  • Filename
    6546636