Transition Matrix in Characteristic Modes Theory
(2022) 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings p.291-292- Abstract
This abstract presents the versatility and computational effectiveness of characteristic mode decomposition based on the transition matrix. The described treatment is valid for all lossless and linear material distributions and is independent of the numerical method used to resolve a particular scattering scenario.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/adaebf94-aed9-45b4-a4b6-f3b1c6984219
- author
- Jelinek, L. ; Gustafsson, M. LU ; Schab, K. LU ; Capek, M. LU and Moreno, E.
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
- series title
- 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
- pages
- 2 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
- conference location
- Denver, United States
- conference dates
- 2022-07-10 - 2022-07-15
- external identifiers
-
- scopus:85139743025
- ISBN
- 9781665496582
- DOI
- 10.1109/AP-S/USNC-URSI47032.2022.9887318
- language
- English
- LU publication?
- yes
- id
- adaebf94-aed9-45b4-a4b6-f3b1c6984219
- date added to LUP
- 2022-12-20 10:38:56
- date last changed
- 2023-11-21 14:18:01
@inproceedings{adaebf94-aed9-45b4-a4b6-f3b1c6984219, abstract = {{<p>This abstract presents the versatility and computational effectiveness of characteristic mode decomposition based on the transition matrix. The described treatment is valid for all lossless and linear material distributions and is independent of the numerical method used to resolve a particular scattering scenario.</p>}}, author = {{Jelinek, L. and Gustafsson, M. and Schab, K. and Capek, M. and Moreno, E.}}, booktitle = {{2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings}}, isbn = {{9781665496582}}, language = {{eng}}, pages = {{291--292}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings}}, title = {{Transition Matrix in Characteristic Modes Theory}}, url = {{http://dx.doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887318}}, doi = {{10.1109/AP-S/USNC-URSI47032.2022.9887318}}, year = {{2022}}, }