By Topic

A BMIA/FFT algorithm for the Monte Carlo simulations of large scale random rough surface scattering: application to grazing incidence

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Tsang, L. ; Electromagn. & Remote Sensing Lab., Washington Univ., Seattle, WA, USA ; Chan, C.H. ; Pak, K. ; Sangani, H.

A banded matrix iterative approach (BMIA) has been developed to study electromagnetic scattering from one-dimensional random rough surfaces. This new method not only provides a faster solution time, but it also allows one to analyze much longer surfaces that could not be considered before using the conventional integral equation method. The capability of analyzing random surfaces of large surface length is essential in the study of backscattering at near grazing incident angle. We report our refinement of the BMIA. We first identify the inefficient part of the algorithm and then provide a remedy to alleviate the problem which results in further reduction in solution time as well as computer memory requirement. We then apply the new improved BMIA to investigate backscattering from random rough surface near grazing incidence.

Published in:

Antennas and Propagation Society International Symposium, 1994. AP-S. Digest  (Volume:3 )

Date of Conference:

20-24 June 1994