Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach

Xuefeng Zhang; Lin Wang; Wenchao Li; Zhongyu Li; Junjie Wu

doi:10.1109/Radar53847.2021.10028280

Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach

Xuefeng Zhang
, Lin Wang
, Wenchao Li
, Zhongyu Li
, Junjie Wu

University of Electronic Science and Technology of China

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

Abstract

The vortex radar transmits electromagnetic waves carrying orbital angular momentum (OAM), which obtains more azimuthal information than the plane wave, and has great application potential in the field of radar detection and imaging. However, the azimuth resolution is limited to OAM modes. In this paper, an iterative adaptive super-resolution method is proposed for vortex radar imaging. Firstly, the azimuthal targets detection problem is transformed into a parameter estimation problem, the echo autocorrelation matrix is reconstructed. Then the weighted cost function is updated iteratively based on the weighted least-squares criterion. Finally, the targets are obtained after iterations. Simulation results showed the effectiveness of the iterative adaptive approach on azimuth super-resolution of vortex radar with fewer OAM modes.

Original language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	824-827
Number of pages	4
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10028280
State	Published - 2021
Externally published	Yes
Event	2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China Duration: 15 Dec 2021 → 19 Dec 2021

Publication series

Name	Proceedings of the IEEE Radar Conference
Volume	2021-December
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2021 CIE International Conference on Radar, Radar 2021
Country/Territory	China
City	Haikou, Hainan
Period	15/12/21 → 19/12/21

Keywords

azimuth super- resolution
electromagnetic vortex radar
iterative adaptive approach (IAA)
orbital angular momentum (OAM)

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10.1109/Radar53847.2021.10028280

Cite this

Zhang, X., Wang, L., Li, W., Li, Z., & Wu, J. (2021). Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 824-827). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Radar53847.2021.10028280

@inproceedings{cf37e1e6fd724ee6943d00889a673441,

title = "Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach",

abstract = "The vortex radar transmits electromagnetic waves carrying orbital angular momentum (OAM), which obtains more azimuthal information than the plane wave, and has great application potential in the field of radar detection and imaging. However, the azimuth resolution is limited to OAM modes. In this paper, an iterative adaptive super-resolution method is proposed for vortex radar imaging. Firstly, the azimuthal targets detection problem is transformed into a parameter estimation problem, the echo autocorrelation matrix is reconstructed. Then the weighted cost function is updated iteratively based on the weighted least-squares criterion. Finally, the targets are obtained after iterations. Simulation results showed the effectiveness of the iterative adaptive approach on azimuth super-resolution of vortex radar with fewer OAM modes.",

keywords = "azimuth super- resolution, electromagnetic vortex radar, iterative adaptive approach (IAA), orbital angular momentum (OAM)",

author = "Xuefeng Zhang and Lin Wang and Wenchao Li and Zhongyu Li and Junjie Wu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 CIE International Conference on Radar, Radar 2021 ; Conference date: 15-12-2021 Through 19-12-2021",

year = "2021",

doi = "10.1109/Radar53847.2021.10028280",

language = "英语",

series = "Proceedings of the IEEE Radar Conference",

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

pages = "824--827",

booktitle = "2021 CIE International Conference on Radar, Radar 2021",

}

Zhang, X, Wang, L, Li, W, Li, Z & Wu, J 2021, Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach. in 2021 CIE International Conference on Radar, Radar 2021. Proceedings of the IEEE Radar Conference, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 824-827, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10028280

Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach. / Zhang, Xuefeng; Wang, Lin; Li, Wenchao et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 824-827 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

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

TY - GEN

T1 - Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach

AU - Zhang, Xuefeng

AU - Wang, Lin

AU - Li, Wenchao

AU - Li, Zhongyu

AU - Wu, Junjie

PY - 2021

Y1 - 2021

N2 - The vortex radar transmits electromagnetic waves carrying orbital angular momentum (OAM), which obtains more azimuthal information than the plane wave, and has great application potential in the field of radar detection and imaging. However, the azimuth resolution is limited to OAM modes. In this paper, an iterative adaptive super-resolution method is proposed for vortex radar imaging. Firstly, the azimuthal targets detection problem is transformed into a parameter estimation problem, the echo autocorrelation matrix is reconstructed. Then the weighted cost function is updated iteratively based on the weighted least-squares criterion. Finally, the targets are obtained after iterations. Simulation results showed the effectiveness of the iterative adaptive approach on azimuth super-resolution of vortex radar with fewer OAM modes.

AB - The vortex radar transmits electromagnetic waves carrying orbital angular momentum (OAM), which obtains more azimuthal information than the plane wave, and has great application potential in the field of radar detection and imaging. However, the azimuth resolution is limited to OAM modes. In this paper, an iterative adaptive super-resolution method is proposed for vortex radar imaging. Firstly, the azimuthal targets detection problem is transformed into a parameter estimation problem, the echo autocorrelation matrix is reconstructed. Then the weighted cost function is updated iteratively based on the weighted least-squares criterion. Finally, the targets are obtained after iterations. Simulation results showed the effectiveness of the iterative adaptive approach on azimuth super-resolution of vortex radar with fewer OAM modes.

KW - azimuth super- resolution

KW - electromagnetic vortex radar

KW - iterative adaptive approach (IAA)

KW - orbital angular momentum (OAM)

UR - https://www.scopus.com/pages/publications/85181064102

U2 - 10.1109/Radar53847.2021.10028280

DO - 10.1109/Radar53847.2021.10028280

M3 - 会议稿件

AN - SCOPUS:85181064102

T3 - Proceedings of the IEEE Radar Conference

SP - 824

EP - 827

BT - 2021 CIE International Conference on Radar, Radar 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 CIE International Conference on Radar, Radar 2021

Y2 - 15 December 2021 through 19 December 2021

ER -

Vortex Radar Super-resolution Imaging Based on Iterative Adaptive Approach

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