Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation

Ke Zhao; Jun Wang; Bin Yang; Jiacheng He; Xueyin Geng

doi:10.1109/ICSIDP62679.2024.10868494

Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation

Ke Zhao^*
, Jun Wang
, Bin Yang
, Jiacheng He
, Xueyin Geng

^*此作品的通讯作者

电子信息工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

MIMO radar networks are composed of multiple separated MIMO sensors and each radar sensor can be viewed as a subarray. Although the MIMO radar networks can obtain a larger virtual aperture, excessive node or subarray spacing will lead to a wider grating lobe distribution. In order to solve the grating lobe problem, this paper proposes a Kaiser-Kalmus sum and difference beam cancellation method, which uses subarray beam to suppress array factor's grating lobes. In the MIMO radar networks imaging scenario, the effectiveness of this algorithm was verified through simulation and experiments.

源语言	英语
主期刊名	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9798331515669
DOI	https://doi.org/10.1109/ICSIDP62679.2024.10868494
出版状态	已出版 - 2024
活动	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, 中国期限: 22 11月 2024 → 24 11月 2024

出版系列

姓名	IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

会议

会议	2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
国家/地区	中国
市	Zhuhai
时期	22/11/24 → 24/11/24

访问文件

10.1109/ICSIDP62679.2024.10868494

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhao, K., Wang, J., Yang, B., He, J., & Geng, X. (2024). Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation. 在 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP62679.2024.10868494

Zhao, Ke ; Wang, Jun ; Yang, Bin 等. / Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

@inproceedings{3f5880f39af941219e1dd14afc1cc539,

title = "Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation",

abstract = "MIMO radar networks are composed of multiple separated MIMO sensors and each radar sensor can be viewed as a subarray. Although the MIMO radar networks can obtain a larger virtual aperture, excessive node or subarray spacing will lead to a wider grating lobe distribution. In order to solve the grating lobe problem, this paper proposes a Kaiser-Kalmus sum and difference beam cancellation method, which uses subarray beam to suppress array factor's grating lobes. In the MIMO radar networks imaging scenario, the effectiveness of this algorithm was verified through simulation and experiments.",

keywords = "Kalmus filter, MIMO radar networks, grating lobe suppression, sum and difference beam cancellation",

author = "Ke Zhao and Jun Wang and Bin Yang and Jiacheng He and Xueyin Geng",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 ; Conference date: 22-11-2024 Through 24-11-2024",

year = "2024",

doi = "10.1109/ICSIDP62679.2024.10868494",

language = "英语",

series = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",

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

booktitle = "IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024",

address = "美国",

}

Zhao, K, Wang, J , Yang, B, He, J & Geng, X 2024, Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation. 在 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024, Zhuhai, 中国, 22/11/24. https://doi.org/10.1109/ICSIDP62679.2024.10868494

Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation. / Zhao, Ke; Wang, Jun ; Yang, Bin 等.
IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation

AU - Zhao, Ke

AU - Wang, Jun

AU - Yang, Bin

AU - He, Jiacheng

AU - Geng, Xueyin

PY - 2024

Y1 - 2024

N2 - MIMO radar networks are composed of multiple separated MIMO sensors and each radar sensor can be viewed as a subarray. Although the MIMO radar networks can obtain a larger virtual aperture, excessive node or subarray spacing will lead to a wider grating lobe distribution. In order to solve the grating lobe problem, this paper proposes a Kaiser-Kalmus sum and difference beam cancellation method, which uses subarray beam to suppress array factor's grating lobes. In the MIMO radar networks imaging scenario, the effectiveness of this algorithm was verified through simulation and experiments.

AB - MIMO radar networks are composed of multiple separated MIMO sensors and each radar sensor can be viewed as a subarray. Although the MIMO radar networks can obtain a larger virtual aperture, excessive node or subarray spacing will lead to a wider grating lobe distribution. In order to solve the grating lobe problem, this paper proposes a Kaiser-Kalmus sum and difference beam cancellation method, which uses subarray beam to suppress array factor's grating lobes. In the MIMO radar networks imaging scenario, the effectiveness of this algorithm was verified through simulation and experiments.

KW - Kalmus filter

KW - MIMO radar networks

KW - grating lobe suppression

KW - sum and difference beam cancellation

UR - https://www.scopus.com/pages/publications/86000005999

U2 - 10.1109/ICSIDP62679.2024.10868494

DO - 10.1109/ICSIDP62679.2024.10868494

M3 - 会议稿件

AN - SCOPUS:86000005999

T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Y2 - 22 November 2024 through 24 November 2024

ER -

Zhao K, Wang J , Yang B, He J, Geng X. Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation. 在 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024). doi: 10.1109/ICSIDP62679.2024.10868494

Grating Lobe Suppression in MIMO Radar Networks using Kaiser-Kalmus Sum-Difference Beam Cancellation

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