Automatic generalized loading for robust adaptive beamforming

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Standard

Automatic generalized loading for robust adaptive beamforming. / Yang, Jun; Ma, Xiaochuan; Hou, Chaohuan; Liu, Yicong.

I: IEEE Signal Processing Letters, Bind 16, Nr. 3, 2009, s. 219-222.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Yang, J, Ma, X, Hou, C & Liu, Y 2009, 'Automatic generalized loading for robust adaptive beamforming', IEEE Signal Processing Letters, bind 16, nr. 3, s. 219-222. https://doi.org/10.1109/LSP.2008.2010807

APA

Yang, J., Ma, X., Hou, C., & Liu, Y. (2009). Automatic generalized loading for robust adaptive beamforming. IEEE Signal Processing Letters, 16(3), 219-222. https://doi.org/10.1109/LSP.2008.2010807

Vancouver

Yang J, Ma X, Hou C, Liu Y. Automatic generalized loading for robust adaptive beamforming. IEEE Signal Processing Letters. 2009;16(3):219-222. https://doi.org/10.1109/LSP.2008.2010807

Author

Yang, Jun ; Ma, Xiaochuan ; Hou, Chaohuan ; Liu, Yicong. / Automatic generalized loading for robust adaptive beamforming. I: IEEE Signal Processing Letters. 2009 ; Bind 16, Nr. 3. s. 219-222.

Bibtex

@article{1938ad4881fc409a8f72fa5987fb1602,
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.",
keywords = "Adaptive beamforming, Generalized loading, Minimum variance beamforming, Robust beamforming",
author = "Jun Yang and Xiaochuan Ma and Chaohuan Hou and Yicong Liu",
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.",
year = "2009",
doi = "10.1109/LSP.2008.2010807",
language = "English",
volume = "16",
pages = "219--222",
journal = "IEEE Signal Processing Letters",
issn = "1070-9908",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

RIS

TY - JOUR

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

Y1 - 2009

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

UR - http://www.scopus.com/inward/record.url?scp=60849127247&partnerID=8YFLogxK

U2 - 10.1109/LSP.2008.2010807

DO - 10.1109/LSP.2008.2010807

M3 - Journal article

AN - SCOPUS:60849127247

VL - 16

SP - 219

EP - 222

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

SN - 1070-9908

IS - 3

ER -

ID: 362748728