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 af dette arbejde

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

39 Citationer (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.

Originalsprog	Engelsk
Tidsskrift	IEEE Signal Processing Letters
Vol/bind	16
Udgave nummer	3
Sider (fra-til)	219-222
Antal sider	4
ISSN	1070-9908
DOI	https://doi.org/10.1109/LSP.2008.2010807
Status	Udgivet - 2009
Udgivet eksternt	Ja

Bibliografisk 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.

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10.1109/LSP.2008.2010807

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Citationsformater

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title = "Automatic generalized loading for robust adaptive beamforming",

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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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.",

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AU - Yang, Jun

AU - Ma, Xiaochuan

AU - Hou, Chaohuan

AU - Liu, Yicong

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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.

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KW - Adaptive beamforming

KW - Generalized loading

KW - Minimum variance beamforming

KW - Robust beamforming

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DO - 10.1109/LSP.2008.2010807

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JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

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