Broadband GSC beamformer with spatial and temporal decorrelation

C.L. Koh, S. Redif, S. Weiss

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

Broadband adaptive beamforming algorithms based on the least mean square (LMS) family are known to exhibit slow convergence, if the input is correlated. In this paper, we will utilised a recently proposed broadband eigen value decomposition method to provide strong spatial decorrelation, while at the same time reduces the subspace in which the beamforming algorithm operates. Additional temporal decorrelation is gained by operating the beamformer in oversampled filter banks. Hybrid structures which combine both spatial and temporal decorrelation demonstrate to provide faster convergence speed than the normalised LMS algorithm or either of the decorrelation approach on its own.
LanguageEnglish
Pages889-893
Number of pages4
Publication statusPublished - Aug 2009
Event17th European Signal Processing Conference - Glasgow, Scotland
Duration: 24 Aug 200928 Aug 2009

Conference

Conference17th European Signal Processing Conference
CityGlasgow, Scotland
Period24/08/0928/08/09

Fingerprint

Beamforming
Filter banks
Decomposition

Keywords

  • Broadband adaptive beamforming algorithms
  • least mean square
  • convergence
  • broadband eigen value decomposition method

Cite this

Koh, C. L., Redif, S., & Weiss, S. (2009). Broadband GSC beamformer with spatial and temporal decorrelation. 889-893. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .
Koh, C.L. ; Redif, S. ; Weiss, S. / Broadband GSC beamformer with spatial and temporal decorrelation. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .4 p.
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title = "Broadband GSC beamformer with spatial and temporal decorrelation",
abstract = "Broadband adaptive beamforming algorithms based on the least mean square (LMS) family are known to exhibit slow convergence, if the input is correlated. In this paper, we will utilised a recently proposed broadband eigen value decomposition method to provide strong spatial decorrelation, while at the same time reduces the subspace in which the beamforming algorithm operates. Additional temporal decorrelation is gained by operating the beamformer in oversampled filter banks. Hybrid structures which combine both spatial and temporal decorrelation demonstrate to provide faster convergence speed than the normalised LMS algorithm or either of the decorrelation approach on its own.",
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author = "C.L. Koh and S. Redif and S. Weiss",
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Koh, CL, Redif, S & Weiss, S 2009, 'Broadband GSC beamformer with spatial and temporal decorrelation' Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, 24/08/09 - 28/08/09, pp. 889-893.

Broadband GSC beamformer with spatial and temporal decorrelation. / Koh, C.L.; Redif, S.; Weiss, S.

2009. 889-893 Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Broadband GSC beamformer with spatial and temporal decorrelation

AU - Koh, C.L.

AU - Redif, S.

AU - Weiss, S.

PY - 2009/8

Y1 - 2009/8

N2 - Broadband adaptive beamforming algorithms based on the least mean square (LMS) family are known to exhibit slow convergence, if the input is correlated. In this paper, we will utilised a recently proposed broadband eigen value decomposition method to provide strong spatial decorrelation, while at the same time reduces the subspace in which the beamforming algorithm operates. Additional temporal decorrelation is gained by operating the beamformer in oversampled filter banks. Hybrid structures which combine both spatial and temporal decorrelation demonstrate to provide faster convergence speed than the normalised LMS algorithm or either of the decorrelation approach on its own.

AB - Broadband adaptive beamforming algorithms based on the least mean square (LMS) family are known to exhibit slow convergence, if the input is correlated. In this paper, we will utilised a recently proposed broadband eigen value decomposition method to provide strong spatial decorrelation, while at the same time reduces the subspace in which the beamforming algorithm operates. Additional temporal decorrelation is gained by operating the beamformer in oversampled filter banks. Hybrid structures which combine both spatial and temporal decorrelation demonstrate to provide faster convergence speed than the normalised LMS algorithm or either of the decorrelation approach on its own.

KW - Broadband adaptive beamforming algorithms

KW - least mean square

KW - convergence

KW - broadband eigen value decomposition method

UR - http://www.eusipco2009.org/papers/1569221533.pdf

UR - http://www.eurasip.org/proceedings/eusipco/eusipco2009/contents/papers/1569221533.pdf

M3 - Paper

SP - 889

EP - 893

ER -

Koh CL, Redif S, Weiss S. Broadband GSC beamformer with spatial and temporal decorrelation. 2009. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .