TY - GEN
T1 - Solving inverse equivalent surface source problems by the normal error system of normal equations
AU - Kornprobst, J.
AU - Neitz, O.
AU - Knapp, J.
AU - Mauermayer, R. A.M.
AU - Eibert, T. F.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - For near-field antenna measurements, the most versatile post-processing techniques are inverse equivalent surface source solvers, since they are able to provide suppression of parasitic echo influences by source localization and offer diagnostic information about the behavior of the antenna under test (AUT) [1]-[3]. We focus on the fast irregular antenna field transformation algorithm (FIAFTA), which offers multi-level fast multipole method acceleration and full probe correction [4], [5]. For diagnostics, the equivalent sources are modeled as electric and magnetic surface current densities, which are in turn discretized by the low-order divergence-conforming Rao-Wilton-Glisson functions. Therefore, the number of current unknowns can be considerably larger than the degrees of freedom in the radiated AUT fields (determined purely by the AUT size), rendering the inverse problem underdetermined in most scenarios with a nullspace in the forward operator. Furthermore, a left nullspace is observed when the AUT near field is oversampled for noise and measurement error suppression.
AB - For near-field antenna measurements, the most versatile post-processing techniques are inverse equivalent surface source solvers, since they are able to provide suppression of parasitic echo influences by source localization and offer diagnostic information about the behavior of the antenna under test (AUT) [1]-[3]. We focus on the fast irregular antenna field transformation algorithm (FIAFTA), which offers multi-level fast multipole method acceleration and full probe correction [4], [5]. For diagnostics, the equivalent sources are modeled as electric and magnetic surface current densities, which are in turn discretized by the low-order divergence-conforming Rao-Wilton-Glisson functions. Therefore, the number of current unknowns can be considerably larger than the degrees of freedom in the radiated AUT fields (determined purely by the AUT size), rendering the inverse problem underdetermined in most scenarios with a nullspace in the forward operator. Furthermore, a left nullspace is observed when the AUT near field is oversampled for noise and measurement error suppression.
UR - http://www.scopus.com/inward/record.url?scp=85074948514&partnerID=8YFLogxK
U2 - 10.1109/ICEAA.2019.8879105
DO - 10.1109/ICEAA.2019.8879105
M3 - Conference contribution
AN - SCOPUS:85074948514
T3 - Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
SP - 989
BT - Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
Y2 - 9 September 2019 through 13 September 2019
ER -