Automatic generalized loading for robust adaptive beamforming

Jun Yang; Xiaochuan Ma; Chaohuan Hou; Yicong Liu

doi:10.1109/LSP.2008.2010807

Automatic generalized loading for robust adaptive beamforming

Jun Yang^*, Xiaochuan Ma, Chaohuan Hou, Yicong Liu

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

39 Citations (Scopus)

Abstract

The goal of this letter is to derive robust adaptive beamformers via generalized loading. In the proposed methods, Hermitian matrices are loaded on sample covariance matrix, and this is different from those methods based on the well-known diagonal loading approach. Furthermore, the computation of the loaded matrix is fully automatic, which is scarce in the literature. Numerical examples show that our methods are more robust to errors on array steering vector and sample covariance matrix than other tested parameter-free methods.

Original language	English
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	3
Pages (from-to)	219-222
Number of pages	4
ISSN	1070-9908
DOIs	https://doi.org/10.1109/LSP.2008.2010807
Publication status	Published - 2009
Externally published	Yes

Bibliographical note

Funding Information:
Manuscript received August 28, 2008; revised October 20, 2008. Current version published February 11, 2009. This work was supported by the Commission of Science Technology and Industry for National Defence, China, under Grant No. A1320070067. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Yimin Zhang.

Keywords

Adaptive beamforming
Generalized loading
Minimum variance beamforming
Robust beamforming

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10.1109/LSP.2008.2010807

Cite this

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abstract = "The goal of this letter is to derive robust adaptive beamformers via generalized loading. In the proposed methods, Hermitian matrices are loaded on sample covariance matrix, and this is different from those methods based on the well-known diagonal loading approach. Furthermore, the computation of the loaded matrix is fully automatic, which is scarce in the literature. Numerical examples show that our methods are more robust to errors on array steering vector and sample covariance matrix than other tested parameter-free methods.",

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T1 - Automatic generalized loading for robust adaptive beamforming

AU - Yang, Jun

AU - Ma, Xiaochuan

AU - Hou, Chaohuan

AU - Liu, Yicong

N1 - Funding Information: Manuscript received August 28, 2008; revised October 20, 2008. Current version published February 11, 2009. This work was supported by the Commission of Science Technology and Industry for National Defence, China, under Grant No. A1320070067. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Yimin Zhang.

PY - 2009

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N2 - The goal of this letter is to derive robust adaptive beamformers via generalized loading. In the proposed methods, Hermitian matrices are loaded on sample covariance matrix, and this is different from those methods based on the well-known diagonal loading approach. Furthermore, the computation of the loaded matrix is fully automatic, which is scarce in the literature. Numerical examples show that our methods are more robust to errors on array steering vector and sample covariance matrix than other tested parameter-free methods.

AB - The goal of this letter is to derive robust adaptive beamformers via generalized loading. In the proposed methods, Hermitian matrices are loaded on sample covariance matrix, and this is different from those methods based on the well-known diagonal loading approach. Furthermore, the computation of the loaded matrix is fully automatic, which is scarce in the literature. Numerical examples show that our methods are more robust to errors on array steering vector and sample covariance matrix than other tested parameter-free methods.

KW - Adaptive beamforming

KW - Generalized loading

KW - Minimum variance beamforming

KW - Robust beamforming

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DO - 10.1109/LSP.2008.2010807

M3 - Journal article

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EP - 222

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

IS - 3

ER -

Automatic generalized loading for robust adaptive beamforming

Abstract

Bibliographical note

Keywords

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