TY - GEN
T1 - A Multistatic Imaging Algorithm Based on a Spatial Domain Decomposition Approach
AU - Saurer, Matthias M.
AU - Brinkmann, Marius
AU - Fruth, Christian
AU - Eibert, Thomas F.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - A spatial domain decomposition approach in connection with a multistatic near-field imaging algorithm is analyzed. The multistatic scattering data is transformed into an equivalent monostatic representation. This is achieved by decomposing the imaging domain into subdomains and assigning a reference point to each of the individual subdomains, for which the multistatic-to-monostatic conversion is performed separately. The spatial image is computed for each subdomain individually and the final image is obtained by coherently superimposing the overlapping subimages using an appropriate spatial weighting. Multiple measurement results showcase the benefit of the spatial domain decomposition approach as well as its limitations.
AB - A spatial domain decomposition approach in connection with a multistatic near-field imaging algorithm is analyzed. The multistatic scattering data is transformed into an equivalent monostatic representation. This is achieved by decomposing the imaging domain into subdomains and assigning a reference point to each of the individual subdomains, for which the multistatic-to-monostatic conversion is performed separately. The spatial image is computed for each subdomain individually and the final image is obtained by coherently superimposing the overlapping subimages using an appropriate spatial weighting. Multiple measurement results showcase the benefit of the spatial domain decomposition approach as well as its limitations.
UR - http://www.scopus.com/inward/record.url?scp=105002147209&partnerID=8YFLogxK
U2 - 10.1109/EMTS57498.2023.10925310
DO - 10.1109/EMTS57498.2023.10925310
M3 - Conference contribution
AN - SCOPUS:105002147209
T3 - 2023 URSI International Symposium on Electromagnetic Theory, EMTS 2023
SP - 107
EP - 110
BT - 2023 URSI International Symposium on Electromagnetic Theory, EMTS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 URSI International Symposium on Electromagnetic Theory, EMTS 2023
Y2 - 22 May 2023 through 26 May 2023
ER -