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Measurement-Error Controlled Iterative Least-Squares Solutions of Inverse Field Transformation Problems
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  • Jonas Kornprobst ,
  • Josef Knapp ,
  • Ole Neitz ,
  • Thomas F. Eibert
Jonas Kornprobst
Technical University of Munich

Corresponding Author:[email protected]

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Josef Knapp
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Ole Neitz
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Thomas F. Eibert
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The inverse equivalent source problem related to near-field antenna measurements is typically ill-posed, i.e., the forward operator suffers from non-trivial null spaces. This issue is commonly tackled by pursuing a least-squares solution of the reconstructed near fields. We propose to find a solution of the normal error system of equations which minimizes the l2-norm of the source-coefficients reconstruction deviation. In the scope of near-field to far-field transformations (NFFFTs), advantages are found in a slightly better iterative solver convergence, a reduced number of unknowns, and—most importantly—a more convenient control of the stopping criterion of the iterative solution process. Since the residual of the normal-error solution equals the reconstruction deviation, the proposed formulation includes a meaningful stopping criterion based on the measurement error. All these claims are corroborated by NFFFTs of synthetic and real-world measurement data.