TY - GEN

T1 - Near-field high-resolution imaging based on inverse equivalent source methods

AU - Azhar, A.

AU - Neitz, O.

AU - Knapp, J.

AU - Baumgartner, R.

AU - Mitic, G.

AU - Eibert, T. F.

N1 - Publisher Copyright:
© 2019 IEEE.

PY - 2019/9

Y1 - 2019/9

N2 - Standard radar imaging methods work commonly with time-domain or spectral domain back-propagation techniques, which are restricted in terms of flexibility and spatial resolution. In this work, we investigate inverse source methods with respect to their imaging capabilities. In an inverse source method, we explicitly solve a linear inverse problem for the given, possibly irregularly distributed measurement samples, and with full probe correction. Moreover, we assume certain a priori knowledge about the location of the equivalent sources on the device under test (DUT). Such a formulation can be set up in form of a radiation problem or in form of a scattering problem, where the sources are rather scattering coefficients than current distributions. Our basic formulation works with time-harmonic high-frequency excitation where, however, several frequencies can be processed in order to combine the results to images with a larger information content.

AB - Standard radar imaging methods work commonly with time-domain or spectral domain back-propagation techniques, which are restricted in terms of flexibility and spatial resolution. In this work, we investigate inverse source methods with respect to their imaging capabilities. In an inverse source method, we explicitly solve a linear inverse problem for the given, possibly irregularly distributed measurement samples, and with full probe correction. Moreover, we assume certain a priori knowledge about the location of the equivalent sources on the device under test (DUT). Such a formulation can be set up in form of a radiation problem or in form of a scattering problem, where the sources are rather scattering coefficients than current distributions. Our basic formulation works with time-harmonic high-frequency excitation where, however, several frequencies can be processed in order to combine the results to images with a larger information content.

UR - http://www.scopus.com/inward/record.url?scp=85074931673&partnerID=8YFLogxK

U2 - 10.1109/ICEAA.2019.8879050

DO - 10.1109/ICEAA.2019.8879050

M3 - Conference contribution

AN - SCOPUS:85074931673

T3 - Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019

SP - 1069

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 -