Partially adaptive broadband beamforming with a subband selective tranformation matrix

Wei Liu; S. Weiss; L. Hanzo

doi:10.1109/SAM.2002.1190996

Partially adaptive broadband beamforming with a subband selective tranformation matrix

Wei Liu, S. Weiss, L. Hanzo

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

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Abstract

A partially adaptive generalized sidelobe canceller (GSC) with a novel spatially/spectrally subband-selective transformation matrix is proposed. The row vectors of this matrix constitute a series of bandpass filters, which separate the blocking matrix outputs into components of different DOAs and frequencies. This results in bandlimited spectra of its outputs, which is further exploited by subband decomposition and discarding the low-pass subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the computational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.

Original language	English
Pages	43-47
Number of pages	5
DOIs	https://doi.org/10.1109/SAM.2002.1190996
Publication status	Published - 2002
Event	IEEE Sensor Array and Multichannel Signal Processing Workshop - Rosslyn, Virginia, United States Duration: 4 Aug 2002 → 6 Aug 2002

Workshop

Workshop	IEEE Sensor Array and Multichannel Signal Processing Workshop
Abbreviated title	SAM 2002
Country/Territory	United States
City	Rosslyn, Virginia
Period	4/08/02 → 6/08/02

Keywords

adaptive arrays
band pass filters
adaptive filters
array signal processing

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10.1109/SAM.2002.1190996

Liu02bFinal published version, 477 KB

Cite this

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title = "Partially adaptive broadband beamforming with a subband selective tranformation matrix",

abstract = "A partially adaptive generalized sidelobe canceller (GSC) with a novel spatially/spectrally subband-selective transformation matrix is proposed. The row vectors of this matrix constitute a series of bandpass filters, which separate the blocking matrix outputs into components of different DOAs and frequencies. This results in bandlimited spectra of its outputs, which is further exploited by subband decomposition and discarding the low-pass subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the computational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.",

keywords = "adaptive arrays , band pass filters, adaptive filters , array signal processing ",

author = "Wei Liu and S. Weiss and L. Hanzo",

year = "2002",

doi = "10.1109/SAM.2002.1190996",

language = "English",

pages = "43--47",

note = "IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2002 ; Conference date: 04-08-2002 Through 06-08-2002",

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T1 - Partially adaptive broadband beamforming with a subband selective tranformation matrix

AU - Liu, Wei

AU - Weiss, S.

AU - Hanzo, L.

PY - 2002

Y1 - 2002

N2 - A partially adaptive generalized sidelobe canceller (GSC) with a novel spatially/spectrally subband-selective transformation matrix is proposed. The row vectors of this matrix constitute a series of bandpass filters, which separate the blocking matrix outputs into components of different DOAs and frequencies. This results in bandlimited spectra of its outputs, which is further exploited by subband decomposition and discarding the low-pass subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the computational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.

AB - A partially adaptive generalized sidelobe canceller (GSC) with a novel spatially/spectrally subband-selective transformation matrix is proposed. The row vectors of this matrix constitute a series of bandpass filters, which separate the blocking matrix outputs into components of different DOAs and frequencies. This results in bandlimited spectra of its outputs, which is further exploited by subband decomposition and discarding the low-pass subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the computational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.

KW - adaptive arrays

KW - band pass filters

KW - adaptive filters

KW - array signal processing

U2 - 10.1109/SAM.2002.1190996

DO - 10.1109/SAM.2002.1190996

M3 - Paper

SP - 43

EP - 47

T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop

Y2 - 4 August 2002 through 6 August 2002

ER -

Partially adaptive broadband beamforming with a subband selective tranformation matrix

Abstract

Workshop

Keywords

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