Abstract
The interaction of millimeter waves with lossy bodies is of interest for applications such as remote sensing, imaging, security screening, and military applications. A new approximate simulation method is proposed for the electromagnetic (EM) scattering of millimeter waves from lossy bodies. This truncated Norton surface wave approximation (TSWA) is based on the application of a generalized transition matrix that describes the excitation of Norton surface waves by point sources, which are placed at the body interface for homogeneous lossy materials. The interface is represented by overlapped square patches, which playing role of supports of spline basis functions. The patch size can be of the order of the incident wavelength or larger, enabling the number of variables to be reduced. The total scattered EM field is defined as a superposition of scattered waves from all patches. Verification was performed by comparing the results of simulations using the TSWA method with those of an exact EM solver. The TSWA method was also applied to simulate the multifrequency scattering from a whole human body using a multistatic array.
Original language | English |
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Article number | 8747459 |
Pages (from-to) | 1631-1635 |
Number of pages | 5 |
Journal | IEEE Antennas and Wireless Propagation Letters |
Volume | 18 |
Issue number | 8 |
DOIs | |
Publication status | Published - 2019 Aug |
Bibliographical note
Funding Information:Manuscript received May 21, 2019; revised June 18, 2019; accepted June 19, 2019. Date of publication June 27, 2019; date of current version August 2, 2019. This work was supported by the Ministry of Science and ICT, South Korea (MSIT), under the “ICT Consilience Creative Program” (IITP-2019-2017-0-01015) supervised by the Institute for Information and Communications Technology Promotion. (Corresponding author: Min-Ho Ka.) N. Simonov and M.-H. Ka are with the School of Integrated Technology, Yonsei University, Seoul 03722, South Korea (e-mail: nsimonov@yonsei.ac.kr; kaminho@yonsei.ac.kr).
Publisher Copyright:
© 2002-2011 IEEE.
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering