Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing

Haoyu Meng; Xiaodong Qu; Wolin Li; Xiaopeng Yang

doi:10.1109/Radar53847.2021.10028595

Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing

Haoyu Meng, Xiaodong Qu, Wolin Li, Xiaopeng Yang

School of Information and Electronics

Beijing Institute of Technology

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

Abstract

When array radar faces the coherent interference situation, the received expected signal will be erroneously cancelled. Especially when the coherent interference approaches the expected signal and becomes mainlobe coherent interference, the performance of adaptive beamforming method will degrade seriously. In order to solve these problems, a method based on weighted spatial smoothing and eigen-projection matrix preprocessing is proposed to suppress the mainlobe coherent interference in this paper. Firstly, the coherent interference is decorrelated with the expected signal by the weighted spatial smoothing algorithm, then the mainlobe interference is eliminated by the eigen-projection matrix preprocessing matrix. Finally, the effect of covariance matrix mismatch is reduced by diagonal loading. Simulation results demonstrate the effectiveness and robustness of the proposed algorithm.

Original language	English
Title of host publication	2021 CIE International Conference on Radar, Radar 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1949-1953
Number of pages	5
ISBN (Electronic)	9781665498142
DOIs	https://doi.org/10.1109/Radar53847.2021.10028595
Publication status	Published - 2021
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

diagonal loading
eigen-projection matrix preprocessing
mainlobe coherent interference
weighted spatial smoothing

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10.1109/Radar53847.2021.10028595

Cite this

Meng, H., Qu, X., Li, W., & Yang, X. (2021). Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing. In 2021 CIE International Conference on Radar, Radar 2021 (pp. 1949-1953). (Proceedings of the IEEE Radar Conference; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Radar53847.2021.10028595

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title = "Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing",

abstract = "When array radar faces the coherent interference situation, the received expected signal will be erroneously cancelled. Especially when the coherent interference approaches the expected signal and becomes mainlobe coherent interference, the performance of adaptive beamforming method will degrade seriously. In order to solve these problems, a method based on weighted spatial smoothing and eigen-projection matrix preprocessing is proposed to suppress the mainlobe coherent interference in this paper. Firstly, the coherent interference is decorrelated with the expected signal by the weighted spatial smoothing algorithm, then the mainlobe interference is eliminated by the eigen-projection matrix preprocessing matrix. Finally, the effect of covariance matrix mismatch is reduced by diagonal loading. Simulation results demonstrate the effectiveness and robustness of the proposed algorithm.",

keywords = "diagonal loading, eigen-projection matrix preprocessing, mainlobe coherent interference, weighted spatial smoothing",

author = "Haoyu Meng and Xiaodong Qu and Wolin Li and Xiaopeng Yang",

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/Radar53847.2021.10028595",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

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Meng, H, Qu, X, Li, W & Yang, X 2021, Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing. 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. 1949-1953, 2021 CIE International Conference on Radar, Radar 2021, Haikou, Hainan, China, 15/12/21. https://doi.org/10.1109/Radar53847.2021.10028595

Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing. / Meng, Haoyu; Qu, Xiaodong; Li, Wolin et al.
2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1949-1953 (Proceedings of the IEEE Radar Conference; Vol. 2021-December).

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

TY - GEN

T1 - Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing

AU - Meng, Haoyu

AU - Qu, Xiaodong

AU - Li, Wolin

AU - Yang, Xiaopeng

PY - 2021

Y1 - 2021

N2 - When array radar faces the coherent interference situation, the received expected signal will be erroneously cancelled. Especially when the coherent interference approaches the expected signal and becomes mainlobe coherent interference, the performance of adaptive beamforming method will degrade seriously. In order to solve these problems, a method based on weighted spatial smoothing and eigen-projection matrix preprocessing is proposed to suppress the mainlobe coherent interference in this paper. Firstly, the coherent interference is decorrelated with the expected signal by the weighted spatial smoothing algorithm, then the mainlobe interference is eliminated by the eigen-projection matrix preprocessing matrix. Finally, the effect of covariance matrix mismatch is reduced by diagonal loading. Simulation results demonstrate the effectiveness and robustness of the proposed algorithm.

AB - When array radar faces the coherent interference situation, the received expected signal will be erroneously cancelled. Especially when the coherent interference approaches the expected signal and becomes mainlobe coherent interference, the performance of adaptive beamforming method will degrade seriously. In order to solve these problems, a method based on weighted spatial smoothing and eigen-projection matrix preprocessing is proposed to suppress the mainlobe coherent interference in this paper. Firstly, the coherent interference is decorrelated with the expected signal by the weighted spatial smoothing algorithm, then the mainlobe interference is eliminated by the eigen-projection matrix preprocessing matrix. Finally, the effect of covariance matrix mismatch is reduced by diagonal loading. Simulation results demonstrate the effectiveness and robustness of the proposed algorithm.

KW - diagonal loading

KW - eigen-projection matrix preprocessing

KW - mainlobe coherent interference

KW - weighted spatial smoothing

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DO - 10.1109/Radar53847.2021.10028595

M3 - Conference contribution

AN - SCOPUS:85181102126

T3 - Proceedings of the IEEE Radar Conference

SP - 1949

EP - 1953

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 -

Meng H, Qu X, Li W, Yang X. Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing. In 2021 CIE International Conference on Radar, Radar 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1949-1953. (Proceedings of the IEEE Radar Conference). doi: 10.1109/Radar53847.2021.10028595

Mainlobe Coherent Interference Suppression Method Based on Weighted Spatial Smoothing and Eigen-Projection Matrix Preprocessing

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