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Scattering from very large randomly rough surfaces using a Markov random field equivalent current

Publication ,  Journal Article
Zhu, X; Carin, L
Published in: IEEE Transactions on Antennas and Propagation
January 1, 2008

A Markov random field (MRF) model is employed to learn the statistical properties of an equivalent current situated above a rough surface, where this equivalent current represents near-field electromagnetic scattered fields. The MRF parameters are learned by considering numerical scattering from a relatively small rough surface, which can be solved efficiently via existing numerical methods. The MRF parameters may then be used to synthesize multiple realizations of the equivalent current associated with scattering from a much larger rough surface. These equivalent currents may be used to efficiently calculate the far-field scattered-field statistics for large surfaces. The advantages of this approach are manifested in the fact that once the MRF parameters are learned, a forward model is no longer needed to generate random realizations of the equivalent currents, and the MRF model can be employed to generate equivalent surfaces of size beyond the capability of existing numerical models. To improve the accuracy of the MRF model, a narrowband filter is used to preprocess the computed current distributions prior to MRF model training. One-dimensional rough surfaces are considered here to demonstrate the idea, and the method of ordered multiple interactions (MOMI) is employed to perform the numerical forward modeling. Promising MRF-generated results are demonstrated, with comparison to direct MOMI solutions. © 2008 IEEE.

Duke Scholars

Published In

IEEE Transactions on Antennas and Propagation

DOI

ISSN

0018-926X

Publication Date

January 1, 2008

Volume

56

Issue

1

Start / End Page

204 / 214

Related Subject Headings

  • Networking & Telecommunications
  • 4009 Electronics, sensors and digital hardware
  • 4008 Electrical engineering
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
 

Citation

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Zhu, X., & Carin, L. (2008). Scattering from very large randomly rough surfaces using a Markov random field equivalent current. IEEE Transactions on Antennas and Propagation, 56(1), 204–214. https://doi.org/10.1109/TAP.2007.913148
Zhu, X., and L. Carin. “Scattering from very large randomly rough surfaces using a Markov random field equivalent current.” IEEE Transactions on Antennas and Propagation 56, no. 1 (January 1, 2008): 204–14. https://doi.org/10.1109/TAP.2007.913148.
Zhu X, Carin L. Scattering from very large randomly rough surfaces using a Markov random field equivalent current. IEEE Transactions on Antennas and Propagation. 2008 Jan 1;56(1):204–14.
Zhu, X., and L. Carin. “Scattering from very large randomly rough surfaces using a Markov random field equivalent current.” IEEE Transactions on Antennas and Propagation, vol. 56, no. 1, Jan. 2008, pp. 204–14. Scopus, doi:10.1109/TAP.2007.913148.
Zhu X, Carin L. Scattering from very large randomly rough surfaces using a Markov random field equivalent current. IEEE Transactions on Antennas and Propagation. 2008 Jan 1;56(1):204–214.

Published In

IEEE Transactions on Antennas and Propagation

DOI

ISSN

0018-926X

Publication Date

January 1, 2008

Volume

56

Issue

1

Start / End Page

204 / 214

Related Subject Headings

  • Networking & Telecommunications
  • 4009 Electronics, sensors and digital hardware
  • 4008 Electrical engineering
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering