Investigations on Normal Systems for Low-Frequency Stabilized Equivalent Electric Surface Current Reconstructions

To reconstruct equivalent electric surface currents from irregularly distributed observations of the fields radiated by a device under test (DUT), we investigate a low-frequency stabilized formulation based on a quasi-Helmholtz decomposition: Rao-Wilton-Glisson (RWG) basis functions are employed for the equivalent surface currents, dipoles as probe antennas, and the relation between probes and sources is established via integral operators. Since, in general, a rectangular linear system of equations (LSE) is obtained, we analyze both the normal-residual system of equations (NRE) and the normal-error system of equations (NEE) for an iterative solution with a generalized minimum residual (GMRES) solver. Specifically, our analysis shows that a self-adaptive normalization scheme is needed in both cases, where the scheme itself can remain the same.

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Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999828
Primary Topic
Non-Destructive Testing Techniques
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article
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article

Investigations on Normal Systems for Low-Frequency Stabilized Equivalent Electric Surface Current Reconstructions

Bernd Hofmann, Thomas F. Eibert, Mohammad Mirmohammadsadeghi, Simon B. Adrian
Non-Destructive Testing Techniques
article

Investigations on Normal Systems for Low-Frequency Stabilized Equivalent Electric Surface Current Reconstructions

Bernd Hofmann, Thomas F. Eibert, Mohammad Mirmohammadsadeghi, Simon B. Adrian
article en

Abstract

To reconstruct equivalent electric surface currents from irregularly distributed observations of the fields radiated by a device under test (DUT), we investigate a low-frequency stabilized formulation based on a quasi-Helmholtz decomposition: Rao-Wilton-Glisson (RWG) basis functions are employed for the equivalent surface currents, dipoles as probe antennas, and the relation between probes and sources is established via integral operators. Since, in general, a rectangular linear system of equations (LSE) is obtained, we analyze both the normal-residual system of equations (NRE) and the normal-error system of equations (NEE) for an iterative solution with a generalized minimum residual (GMRES) solver. Specifically, our analysis shows that a self-adaptive normalization scheme is needed in both cases, where the scheme itself can remain the same.

University of Rostock (DE), Technical University of Munich (DE)
Affordable and clean energy
Openalex Percentile: Top 89%
Non-Destructive Testing Techniques
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