Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Geography

Selected Works

2013

Monte Carlo simulation

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Monte Carlo Simulations Of Electromagnetic Wave Scattering From A Random Rough Surface With Three-Dimensional Penetrable Buried Object: Mine Detection Application Using The Steepest-Descent Fast Multipole Method, Magda El-Shenawee, Carey Rappaport, Michael Silevitch Aug 2013

Monte Carlo Simulations Of Electromagnetic Wave Scattering From A Random Rough Surface With Three-Dimensional Penetrable Buried Object: Mine Detection Application Using The Steepest-Descent Fast Multipole Method, Magda El-Shenawee, Carey Rappaport, Michael Silevitch

Carey Rappaport

We present a statistical study of the electric field scattered from a three-dimensional penetrable object buried under a two-dimensional random rough surface. Monte Carlo simulations using the steepest-descent fast multipole method (SDFMM) are conducted to calculate the average and the standard deviation of the near-zone scattered fields. The SDFMM, originally developed at the University of Illinois at Urbana–Champaign, has been modified to calculate the unknown surface currents both on the rough ground and on the buried object that are due to excitation by a tapered Gaussian beam. The rough ground medium used is an experimentally measured typical dry Bosnian soil …


Monte Carlo Simulations Of Electromagnetic Wave Scattering From A Random Rough Surface With Three-Dimensional Penetrable Buried Object: Mine Detection Application Using The Steepest-Descent Fast Multipole Method, Magda El-Shenawee, Carey Rappaport, Michael Silevitch Aug 2013

Monte Carlo Simulations Of Electromagnetic Wave Scattering From A Random Rough Surface With Three-Dimensional Penetrable Buried Object: Mine Detection Application Using The Steepest-Descent Fast Multipole Method, Magda El-Shenawee, Carey Rappaport, Michael Silevitch

Michael B. Silevitch

We present a statistical study of the electric field scattered from a three-dimensional penetrable object buried under a two-dimensional random rough surface. Monte Carlo simulations using the steepest-descent fast multipole method (SDFMM) are conducted to calculate the average and the standard deviation of the near-zone scattered fields. The SDFMM, originally developed at the University of Illinois at Urbana–Champaign, has been modified to calculate the unknown surface currents both on the rough ground and on the buried object that are due to excitation by a tapered Gaussian beam. The rough ground medium used is an experimentally measured typical dry Bosnian soil …