Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array

Jiaming Li; Xinhui Zhang; Xiuzhu Ye

doi:10.1109/iWEM58222.2023.10234922

Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array

Jiaming Li^*
, Xinhui Zhang
, Xiuzhu Ye

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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
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	https://doi.org/10.1109/iWEM58222.2023.10234922
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

Conference

Conference	2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023
Country/Territory	China
City	Harbin
Period	15/07/23 → 18/07/23

Keywords

Omega-K algorithm
corner reflector array
target stealth
typical geometric feature

Access to Document

10.1109/iWEM58222.2023.10234922

Cite this

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

Li, Jiaming ; Zhang, Xinhui ; Ye, Xiuzhu. / Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array. 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 421-422 (2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023).

@inproceedings{afb7c5f6db6f4027868aa807d2a359d8,

title = "Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array",

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.",

keywords = "Omega-K algorithm, corner reflector array, target stealth, typical geometric feature",

author = "Jiaming Li and Xinhui Zhang and Xiuzhu Ye",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023 ; Conference date: 15-07-2023 Through 18-07-2023",

year = "2023",

doi = "10.1109/iWEM58222.2023.10234922",

language = "English",

series = "2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "421--422",

booktitle = "2023 IEEE International Workshop on Electromagnetics",

address = "United States",

}

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. 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023, Institute of Electrical and Electronics Engineers Inc., pp. 421-422, 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023, Harbin, China, 15/07/23. https://doi.org/10.1109/iWEM58222.2023.10234922

Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array. / Li, Jiaming; Zhang, Xinhui; Ye, Xiuzhu.
2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 421-422 (2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array

AU - Li, Jiaming

AU - Zhang, Xinhui

AU - Ye, Xiuzhu

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Omega-K algorithm

KW - corner reflector array

KW - target stealth

KW - typical geometric feature

UR - https://www.scopus.com/pages/publications/85172984758

U2 - 10.1109/iWEM58222.2023.10234922

DO - 10.1109/iWEM58222.2023.10234922

M3 - Conference contribution

AN - SCOPUS:85172984758

T3 - 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023

SP - 421

EP - 422

BT - 2023 IEEE International Workshop on Electromagnetics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023

Y2 - 15 July 2023 through 18 July 2023

ER -

Li J, Zhang X, Ye X. 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. Institute of Electrical and Electronics Engineers Inc. 2023. p. 421-422. (2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023). doi: 10.1109/iWEM58222.2023.10234922

Elimination of Critical Geometric Features of Radar Imaging by Arranging Corner Reflector Array

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