Abstract
In this paper, a design method is proposed to improve target stealth ability. Firstly, the geometric contour of the target is imaged using the Omega-K algorithm. Secondly, the typical geometric features can be eliminated by arranging corner reflector array. Finally, numerical simulation results are provided to verify the effectiveness of the proposed method.
Original language | English |
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Title of host publication | 2023 IEEE International Workshop on Electromagnetics |
Subtitle of host publication | Applications and Student Innovation Competition, iWEM 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 421-422 |
Number of pages | 2 |
ISBN (Electronic) | 9798350336740 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023 - Harbin, China Duration: 15 Jul 2023 → 18 Jul 2023 |
Publication series
Name | 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023 |
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Conference
Conference | 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023 |
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Country/Territory | China |
City | Harbin |
Period | 15/07/23 → 18/07/23 |
Keywords
- Omega-K algorithm
- corner reflector array
- target stealth
- typical geometric feature
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Li, J., Zhang, X., & Ye, X. (2023). Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array. In 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023 (pp. 421-422). (2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iWEM58222.2023.10234922