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  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
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  •   DSpace@Işık
  • 1- Fakülteler | Faculties
  • Mühendislik ve Doğa Bilimleri Fakültesi / Faculty Of Engineering And Natural Sciences
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
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Inverse scattering by perfectly electric conducting (PEC) rough surfaces: an equivalent model with line sources

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Date

2022

Author

Sefer, Ahmet
Yapar, Ali

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Citation

Sefer, A. & Yapar, A. (2022). Inverse scattering by perfectly electric conducting (PEC) rough surfaces: an equivalent model with line sources. IEEE Transactions on Geoscience and Remote Sensing, 60,1-9. doi:10.1109/TGRS.2022.3210657

Abstract

This paper presents a new method for the reconstruction of the perfectly electric conducting (PEC) rough surface profiles by utilizing electromagnetic waves. The inaccessible rough surface is illuminated by a tapered plane electromagnetic wave and the scattered field data are measured on a certain number of points above the surface under test. The method for the inverse electromagnetic imaging problem is based on a special representation of the scattered field in terms of a finite number of fictitious discrete line sources located along a plane below the rough surface. The current densities of these fictitious sources are obtained through the regularized solution of an ill-posed problem. Then, it is shown that the image of the rough surface can be directly retrieved by seeking the points in the space where the tangential component of the total electric field vanishes. Alternatively, a much more rigorous iterative method based on a regularized Newton algorithm is also presented. A comprehensive numerical analysis is provided to demonstrate the feasibility of the presented approach. In this context, the quantitative successes of both approaches are interpreted by considering a very sensitive ℓ2-norm based error function between the actual and the reconstructed surface profiles. Regarding different scattering scenarios taken into account, the error values obtained for satisfactory reconstructions are generally in the range of 10% - 30% for both methods. It is also shown that the presented algorithms are capable of reconstructing the rough surfaces which oscillate for every λ horizontally and have a peak to peak variation 0.5λ at most.

Source

IEEE Transactions on Geoscience and Remote Sensing

Volume

60

URI

https://hdl.handle.net/11729/5094
http://dx.doi.org/10.1109/TGRS.2022.3210657

Collections

  • Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering [7]
  • Scopus İndeksli Makale Koleksiyonu [915]
  • WoS İndeksli Makale Koleksiyonu [929]

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    Sefer, Ahmet (Institute of Electrical and Electronics Engineers Inc., 2022)
    This article addresses the least-squares method, which is vital in inverse scattering problems involving the reconstruction of inaccessible rough surface profiles from the measured scattered field data. The unknown surface ...
  • Recovery of impenetrable rough surface profiles via CNN-based deep learning architecture 

    Aydın, İzde; Budak, Güven; Sefer, Ahmet; Yapar, Ali (Taylor and Francis Ltd., 2022-08-15)
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  • Reconstruction algorithm for impenetrable rough surface profile under Neumann boundary condition 

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    In this paper, an algorithm to reconstruct one-dimensional impenetrable rough surface from the knowledge of scattering field is presented. The rough surface is considered as locally perturbed and the scattering field data ...



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