Partially adaptive broadband beamforming with a subband selective tranformation matrix

Wei Liu, S. Weiss, L. Hanzo

Research output: Contribution to conferencePaper

1 Citation (Scopus)

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.

Workshop

WorkshopIEEE Sensor Array and Multichannel Signal Processing Workshop
Abbreviated titleSAM 2002
CountryUnited States
CityRosslyn, Virginia
Period4/08/026/08/02

Fingerprint

Beamforming
Adaptive filters
Bandpass filters
Computational complexity
Decomposition

Keywords

  • adaptive arrays
  • band pass filters
  • adaptive filters
  • array signal processing

Cite this

Liu, W., Weiss, S., & Hanzo, L. (2002). Partially adaptive broadband beamforming with a subband selective tranformation matrix. 43-47. Paper presented at IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, Virginia, United States. https://doi.org/10.1109/SAM.2002.1190996
Liu, Wei ; Weiss, S. ; Hanzo, L. / Partially adaptive broadband beamforming with a subband selective tranformation matrix. Paper presented at IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, Virginia, United States.5 p.
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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.",
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",

}

Liu, W, Weiss, S & Hanzo, L 2002, 'Partially adaptive broadband beamforming with a subband selective tranformation matrix' Paper presented at IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, Virginia, United States, 4/08/02 - 6/08/02, pp. 43-47. https://doi.org/10.1109/SAM.2002.1190996

Partially adaptive broadband beamforming with a subband selective tranformation matrix. / Liu, Wei; Weiss, S.; Hanzo, L.

2002. 43-47 Paper presented at IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, Virginia, United States.

Research output: Contribution to conferencePaper

TY - CONF

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

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Liu W, Weiss S, Hanzo L. Partially adaptive broadband beamforming with a subband selective tranformation matrix. 2002. Paper presented at IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, Virginia, United States. https://doi.org/10.1109/SAM.2002.1190996