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Efficient Radiation Pattern Estimation of Slot Array Antennas Covered With Frequency Selective Surfaces Using Deterministic Ray Tracingoa mark
  • Yoon, Daeyeong ;
  • Kim, Jihyung ;
  • Shin, Hokeun ;
  • Na, Dong Yeop ;
  • Park, Yong Bae
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Publication Year
2023-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Access, Vol.11, pp.32018-32029
Keyword
array antennafrequency selective surface (FSS)image methodradomeRay tracing
Mesh Keyword
Antennas radiation patternsArray-antennaBoundary boxBoundary meshesDeterministicsFrequency selective surfaceFrequency-selective surfacesImage methodOptical surface wavesSlot array antennas
All Science Classification Codes (ASJC)
Computer Science (all)Materials Science (all)Engineering (all)Electrical and Electronic Engineering
Abstract
In this paper, we propose a novel algorithm to compute the radiation pattern of a slot array antenna covered with frequency selective surfaces (FSS) based on ray tracing technique. We observe that the proposed algorithm can greatly reduce computational resources while yielding accurate numerical solutions, compared to cases using standard full-wave and conventional high-frequency approaches. The underlying principle is to combine the image method and physical optics technique. More specifically, the proposed algorithm (i) employs a boundary box that encloses the slot array antenna with FSS to correct phase errors and then (ii) calculates equivalent surface currents flowing on the boundary box. The surface of the boundary box is discretized by regular grids (or boundary meshes) and a ray path reaching each square cell in the boundary meshes is determined based on the image method. After collecting all the rays hitting the boundary meshes, equivalent surface current densities can be computed for the resulting radiation pattern. The proposed algorithm is suited best for dealing with electrically large structures much more efficiently and can advance the existing design process.
ISSN
2169-3536
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33326
DOI
https://doi.org/10.1109/access.2023.3262828
Fulltext

Type
Article
Funding
This work was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea Government [Ministry of Science and ICT (MSIT)] under Grant 2021R1A4A1030775.
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Park, Yong Bae박용배
Department of Electrical and Computer Engineering
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