An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction

Jie Yang; Yixin Yang; Bo Lei

doi:10.1109/OCEANSKOBE.2018.8559093

An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction

Jie Yang, Yixin Yang, Bo Lei

School of Marine Science and Technology

Northwestern Polytechnical University Xian

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

3 Scopus citations

Abstract

The existing robust adaptive beamforming method based on steering vector estimation or interference-plus-noise covariance matrix reconstruction is known to suffer from performance degradation in presence of antenna array geometry error. To alleviate this problem, a novel algorithm is proposed. The essence of the proposed method is first to estimate the actual desired signal steering vector by solving a semidefinite programming problem, which is obtained by optimizing the worst-case performance of the original convex problem adopted in steering vector estimation-based method. The precise interference-plus-noise covariance matrix is then obtained by eliminating the contribution of the estimated desired signal to the sample covariance matrix.

Original language	English
Title of host publication	2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538616543
DOIs	https://doi.org/10.1109/OCEANSKOBE.2018.8559093
State	Published - 4 Dec 2018
Event	2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 - Kobe, Japan Duration: 28 May 2018 → 31 May 2018

Publication series

Name	2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Conference

Conference	2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Country/Territory	Japan
City	Kobe
Period	28/05/18 → 31/05/18

Keywords

Covariance matrix reconstruction
Robust adaptive beamforming
Steering vector estimation
Worst-case performance optimization

Access to Document

10.1109/OCEANSKOBE.2018.8559093

Cite this

Yang, J., Yang, Y., & Lei, B. (2018). An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction. In 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 Article 8559093 (2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OCEANSKOBE.2018.8559093

@inproceedings{7501c3a1585041618fbed731501cf689,

title = "An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction",

abstract = "The existing robust adaptive beamforming method based on steering vector estimation or interference-plus-noise covariance matrix reconstruction is known to suffer from performance degradation in presence of antenna array geometry error. To alleviate this problem, a novel algorithm is proposed. The essence of the proposed method is first to estimate the actual desired signal steering vector by solving a semidefinite programming problem, which is obtained by optimizing the worst-case performance of the original convex problem adopted in steering vector estimation-based method. The precise interference-plus-noise covariance matrix is then obtained by eliminating the contribution of the estimated desired signal to the sample covariance matrix.",

keywords = "Covariance matrix reconstruction, Robust adaptive beamforming, Steering vector estimation, Worst-case performance optimization",

author = "Jie Yang and Yixin Yang and Bo Lei",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 ; Conference date: 28-05-2018 Through 31-05-2018",

year = "2018",

month = dec,

day = "4",

doi = "10.1109/OCEANSKOBE.2018.8559093",

language = "英语",

series = "2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018",

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

booktitle = "2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018",

}

Yang, J, Yang, Y & Lei, B 2018, An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction. in 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018., 8559093, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018, Institute of Electrical and Electronics Engineers Inc., 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018, Kobe, Japan, 28/05/18. https://doi.org/10.1109/OCEANSKOBE.2018.8559093

An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction. / Yang, Jie; Yang, Yixin ; Lei, Bo.
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8559093 (2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018).

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

TY - GEN

T1 - An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction

AU - Yang, Jie

AU - Yang, Yixin

AU - Lei, Bo

PY - 2018/12/4

Y1 - 2018/12/4

N2 - The existing robust adaptive beamforming method based on steering vector estimation or interference-plus-noise covariance matrix reconstruction is known to suffer from performance degradation in presence of antenna array geometry error. To alleviate this problem, a novel algorithm is proposed. The essence of the proposed method is first to estimate the actual desired signal steering vector by solving a semidefinite programming problem, which is obtained by optimizing the worst-case performance of the original convex problem adopted in steering vector estimation-based method. The precise interference-plus-noise covariance matrix is then obtained by eliminating the contribution of the estimated desired signal to the sample covariance matrix.

AB - The existing robust adaptive beamforming method based on steering vector estimation or interference-plus-noise covariance matrix reconstruction is known to suffer from performance degradation in presence of antenna array geometry error. To alleviate this problem, a novel algorithm is proposed. The essence of the proposed method is first to estimate the actual desired signal steering vector by solving a semidefinite programming problem, which is obtained by optimizing the worst-case performance of the original convex problem adopted in steering vector estimation-based method. The precise interference-plus-noise covariance matrix is then obtained by eliminating the contribution of the estimated desired signal to the sample covariance matrix.

KW - Covariance matrix reconstruction

KW - Robust adaptive beamforming

KW - Steering vector estimation

KW - Worst-case performance optimization

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U2 - 10.1109/OCEANSKOBE.2018.8559093

DO - 10.1109/OCEANSKOBE.2018.8559093

M3 - 会议稿件

AN - SCOPUS:85060317085

T3 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

BT - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Y2 - 28 May 2018 through 31 May 2018

ER -

Yang J, Yang Y , Lei B. An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction. In 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8559093. (2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018). doi: 10.1109/OCEANSKOBE.2018.8559093

An efficient robust adaptive beamforming method using steering vector estimation and interference covariance matrix reconstruction

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