Adaptive Beamforming Based on Interference Covariance Matrix Estimation

Yujie Gu; Yimin D. Zhang

doi:10.1109/ieeeconf44664.2019.9048699

Adaptive Beamforming Based on Interference Covariance Matrix Estimation

Yujie Gu, Yimin D. Zhang

Temple University

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

12 Scopus citations

Abstract

In this paper, we propose a robust adaptive beam-forming algorithm, where the interference-plus-noise covariance matrix is estimated by identifying and removing the desired signal component from the sample covariance matrix. For this purpose, we construct a desired signal subspace and its orthogonal subspace to identify the eigenvector of the sample covariance matrix corresponding to the desired signal. The adaptive beam-former is then designed using the estimated interference-plus-noise covariance matrix and the identified signal eigenvector. Because both are independent of the knowledge of the array geometry, the proposed adaptive beamformer is robust to array model mismatch. Simulation results demonstrate the effectiveness of the proposed robust adaptive beamforming algorithm.

Original language	English
Title of host publication	Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	619-623
Number of pages	5
ISBN (Electronic)	9781728143002
DOIs	https://doi.org/10.1109/ieeeconf44664.2019.9048699
State	Published - Nov 2019
Externally published	Yes
Event	53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States Duration: 3 Nov 2019 → 6 Nov 2019

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2019-November
ISSN (Print)	1058-6393

Conference

Conference	53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
Country/Territory	United States
City	Pacific Grove
Period	3/11/19 → 6/11/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

This work was supported in part by the National Science Foundation under grant AST-1547420.

Funders	Funder number
National Science Foundation	AST-1547420

Keywords

Adaptive beamforming
interference-plus-noise covariance matrix estimation
robust beamforming
signal identification.

Access to Document

10.1109/ieeeconf44664.2019.9048699

Cite this

Gu, Y., & Zhang, Y. D. (2019). Adaptive Beamforming Based on Interference Covariance Matrix Estimation. In M. B. Matthews (Ed.), Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 (pp. 619-623). Article 9048699 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2019-November). IEEE Computer Society. https://doi.org/10.1109/ieeeconf44664.2019.9048699

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abstract = "In this paper, we propose a robust adaptive beam-forming algorithm, where the interference-plus-noise covariance matrix is estimated by identifying and removing the desired signal component from the sample covariance matrix. For this purpose, we construct a desired signal subspace and its orthogonal subspace to identify the eigenvector of the sample covariance matrix corresponding to the desired signal. The adaptive beam-former is then designed using the estimated interference-plus-noise covariance matrix and the identified signal eigenvector. Because both are independent of the knowledge of the array geometry, the proposed adaptive beamformer is robust to array model mismatch. Simulation results demonstrate the effectiveness of the proposed robust adaptive beamforming algorithm.",

keywords = "Adaptive beamforming, interference-plus-noise covariance matrix estimation, robust beamforming, signal identification.",

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Gu, Y & Zhang, YD 2019, Adaptive Beamforming Based on Interference Covariance Matrix Estimation. in MB Matthews (ed.), Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019., 9048699, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2019-November, IEEE Computer Society, pp. 619-623, 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019, Pacific Grove, United States, 3/11/19. https://doi.org/10.1109/ieeeconf44664.2019.9048699

Adaptive Beamforming Based on Interference Covariance Matrix Estimation. / Gu, Yujie; Zhang, Yimin D.
Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. ed. / Michael B. Matthews. IEEE Computer Society, 2019. p. 619-623 9048699 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2019-November).

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

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Gu Y, Zhang YD. Adaptive Beamforming Based on Interference Covariance Matrix Estimation. In Matthews MB, editor, Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. IEEE Computer Society. 2019. p. 619-623. 9048699. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ieeeconf44664.2019.9048699

Adaptive Beamforming Based on Interference Covariance Matrix Estimation

Abstract

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Keywords

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