Interference-plus-noise covariance matrix reconstruction via spatial power spectrum sampling for robust adaptive beamforming

Zhenyu Zhang; Wei Liu; Wen Leng; Anguo Wang; Heping Shi

doi:10.1109/LSP.2015.2504954

Interference-plus-noise covariance matrix reconstruction via spatial power spectrum sampling for robust adaptive beamforming

Zhenyu Zhang, Wei Liu, Wen Leng, Anguo Wang, Heping Shi

Research output: Journal article publication › Journal article › Academic research › peer-review

145 Citations (Scopus)

Abstract

Recently, a robust adaptive beamforming (RAB) technique based on interference-plus-noise covariance (INC) matrix reconstruction has been proposed, which utilizes the Capon spectrum estimator integrated over a region separated from the direction of the desired signal. Inspired by the sampling and reconstruction idea, in this paper, a novel method named spatial power spectrum sampling (SPSS) is proposed to reconstruct the INC matrix more efficiently, with the corresponding beamforming algorithm developed, where the covariance matrix taper (CMT) technique is employed to further improve its performance. Simulation results are provided to demonstrate the effectiveness of the proposed method.

Original language	English
Article number	7345553
Pages (from-to)	121-125
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	23
Issue number	1
DOIs	https://doi.org/10.1109/LSP.2015.2504954
Publication status	Published - Dec 2015

Keywords

Covariance matrix reconstruction
Matrix taper
Robust beamforming
Spatial power spectrum sampling

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

More information

10.1109/LSP.2015.2504954

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title = "Interference-plus-noise covariance matrix reconstruction via spatial power spectrum sampling for robust adaptive beamforming",

abstract = "Recently, a robust adaptive beamforming (RAB) technique based on interference-plus-noise covariance (INC) matrix reconstruction has been proposed, which utilizes the Capon spectrum estimator integrated over a region separated from the direction of the desired signal. Inspired by the sampling and reconstruction idea, in this paper, a novel method named spatial power spectrum sampling (SPSS) is proposed to reconstruct the INC matrix more efficiently, with the corresponding beamforming algorithm developed, where the covariance matrix taper (CMT) technique is employed to further improve its performance. Simulation results are provided to demonstrate the effectiveness of the proposed method.",

keywords = "Covariance matrix reconstruction, Matrix taper, Robust beamforming, Spatial power spectrum sampling",

author = "Zhenyu Zhang and Wei Liu and Wen Leng and Anguo Wang and Heping Shi",

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AU - Zhang, Zhenyu

AU - Liu, Wei

AU - Leng, Wen

AU - Wang, Anguo

AU - Shi, Heping

PY - 2015/12

Y1 - 2015/12

N2 - Recently, a robust adaptive beamforming (RAB) technique based on interference-plus-noise covariance (INC) matrix reconstruction has been proposed, which utilizes the Capon spectrum estimator integrated over a region separated from the direction of the desired signal. Inspired by the sampling and reconstruction idea, in this paper, a novel method named spatial power spectrum sampling (SPSS) is proposed to reconstruct the INC matrix more efficiently, with the corresponding beamforming algorithm developed, where the covariance matrix taper (CMT) technique is employed to further improve its performance. Simulation results are provided to demonstrate the effectiveness of the proposed method.

AB - Recently, a robust adaptive beamforming (RAB) technique based on interference-plus-noise covariance (INC) matrix reconstruction has been proposed, which utilizes the Capon spectrum estimator integrated over a region separated from the direction of the desired signal. Inspired by the sampling and reconstruction idea, in this paper, a novel method named spatial power spectrum sampling (SPSS) is proposed to reconstruct the INC matrix more efficiently, with the corresponding beamforming algorithm developed, where the covariance matrix taper (CMT) technique is employed to further improve its performance. Simulation results are provided to demonstrate the effectiveness of the proposed method.

KW - Covariance matrix reconstruction

KW - Matrix taper

KW - Robust beamforming

KW - Spatial power spectrum sampling

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M3 - Journal article

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JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

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ER -

Interference-plus-noise covariance matrix reconstruction via spatial power spectrum sampling for robust adaptive beamforming

Abstract

Keywords

ASJC Scopus subject areas

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