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Electromagnetic Scattering from Random Media

Call for Papers

Electromagnetic scattering theory is of fundamental importance to a vast range of technologies, from radar systems engineering to wireless communications, as it is used to interpret the characteristics of signals (and images) generated by the interaction of radiation with matter. It is well known that as the complexity of the ‘scattering problem’ increases, deterministic methods become intractable and therefore an approach based on the scattering of radiation from random media is required. Such a statistical description is important in a variety of contexts. In many applications non-Gaussian noise processes play an essential role.

We invite investigators to contribute original research articles as well as review articles that will stimulate further development in a variety of scattering applications, particularly in areas of inverse problems and remote sensing with an emphasis on real-time inference techniques. Potential topics include, but are not limited to:

  • Remote sensing, oceanic and geophysical
  • Scattering from randomly rough surfaces
  • Inverse problems in biomedical applications
  • Multipath effects in wireless channels
  • Atmospheric scattering
  • Speckle phenomena in optics
  • Radar clutter modelling
  • Synthetic aperture radar
  • Compound K-distribution models
  • Satellite radar interferometry
  • Stochastic differential equation and random field models
  • Radio wave propagation and attenuation
  • Diffuse scattering and scattering from natural elements

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/ijap/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijap/esrm/ according to the following timetable:

Manuscript DueFriday, 27 June 2014
First Round of ReviewsFriday, 19 September 2014
Publication DateFriday, 14 November 2014

Lead Guest Editor

  • Timothy Field, Department of Electrical & Computer Engineering and Department of Mathematics & Statistics, McMaster University, Hamilton, ON, Canada L8S 4K1

Guest Editors

  • Jonathan Blackledge, School of Electrical Engineering Systems, Dublin Institute of Technology, Dublin 8, Ireland
  • Alexei A. Maradudin, Department of Physics & Astronomy, University of California, Irvine 210D Rowland Hall, CA 92697, USA
  • Mark Spivack, DAMTP, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA, UK