Robust Widely Linear Beamforming via an IAA Method for the Augmented IPNCM Reconstruction
Summary :
Based on the reconstruction of the augmented interference-plus-noise (IPN) covariance matrix (CM) and the estimation of the desired signal's extended steering vector (SV), we propose a novel robust widely linear (WL) beamforming algorithm. Firstly, an extension of the iterative adaptive approach (IAA) algorithm is employed to acquire the spatial spectrum. Secondly, the IAA spatial spectrum is adopted to reconstruct the augmented signal-plus-noise (SPN) CM and the augmented IPNCM. Thirdly, the extended SV of the desired signal is estimated by using the iterative robust Capon beamformer with adaptive uncertainty level (AU-IRCB). Compared with several representative robust WL beamforming algorithms, simulation results are provided to confirm that the proposed method can achieve a better performance and has a much lower complexity.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.7 pp.1562-1566
- Publication Date
- 2017/07/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.1562
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Jiangbo LIU
UESTC
Guan GUI
NUPT
Wei XIE
UESTC
Xunchao CONG
UESTC
Qun WAN
UESTC
Fumiyuki ADACHI
Tohoku University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Jiangbo LIU, Guan GUI, Wei XIE, Xunchao CONG, Qun WAN, Fumiyuki ADACHI, "Robust Widely Linear Beamforming via an IAA Method for the Augmented IPNCM Reconstruction" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 7, pp. 1562-1566, July 2017, doi: 10.1587/transfun.E100.A.1562.
Abstract: Based on the reconstruction of the augmented interference-plus-noise (IPN) covariance matrix (CM) and the estimation of the desired signal's extended steering vector (SV), we propose a novel robust widely linear (WL) beamforming algorithm. Firstly, an extension of the iterative adaptive approach (IAA) algorithm is employed to acquire the spatial spectrum. Secondly, the IAA spatial spectrum is adopted to reconstruct the augmented signal-plus-noise (SPN) CM and the augmented IPNCM. Thirdly, the extended SV of the desired signal is estimated by using the iterative robust Capon beamformer with adaptive uncertainty level (AU-IRCB). Compared with several representative robust WL beamforming algorithms, simulation results are provided to confirm that the proposed method can achieve a better performance and has a much lower complexity.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1562/_p
Copy
@ARTICLE{e100-a_7_1562,
author={Jiangbo LIU, Guan GUI, Wei XIE, Xunchao CONG, Qun WAN, Fumiyuki ADACHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Widely Linear Beamforming via an IAA Method for the Augmented IPNCM Reconstruction},
year={2017},
volume={E100-A},
number={7},
pages={1562-1566},
abstract={Based on the reconstruction of the augmented interference-plus-noise (IPN) covariance matrix (CM) and the estimation of the desired signal's extended steering vector (SV), we propose a novel robust widely linear (WL) beamforming algorithm. Firstly, an extension of the iterative adaptive approach (IAA) algorithm is employed to acquire the spatial spectrum. Secondly, the IAA spatial spectrum is adopted to reconstruct the augmented signal-plus-noise (SPN) CM and the augmented IPNCM. Thirdly, the extended SV of the desired signal is estimated by using the iterative robust Capon beamformer with adaptive uncertainty level (AU-IRCB). Compared with several representative robust WL beamforming algorithms, simulation results are provided to confirm that the proposed method can achieve a better performance and has a much lower complexity.},
keywords={},
doi={10.1587/transfun.E100.A.1562},
ISSN={1745-1337},
month={July},}
Copy
TY - JOUR
TI - Robust Widely Linear Beamforming via an IAA Method for the Augmented IPNCM Reconstruction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1562
EP - 1566
AU - Jiangbo LIU
AU - Guan GUI
AU - Wei XIE
AU - Xunchao CONG
AU - Qun WAN
AU - Fumiyuki ADACHI
PY - 2017
DO - 10.1587/transfun.E100.A.1562
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2017
AB - Based on the reconstruction of the augmented interference-plus-noise (IPN) covariance matrix (CM) and the estimation of the desired signal's extended steering vector (SV), we propose a novel robust widely linear (WL) beamforming algorithm. Firstly, an extension of the iterative adaptive approach (IAA) algorithm is employed to acquire the spatial spectrum. Secondly, the IAA spatial spectrum is adopted to reconstruct the augmented signal-plus-noise (SPN) CM and the augmented IPNCM. Thirdly, the extended SV of the desired signal is estimated by using the iterative robust Capon beamformer with adaptive uncertainty level (AU-IRCB). Compared with several representative robust WL beamforming algorithms, simulation results are provided to confirm that the proposed method can achieve a better performance and has a much lower complexity.
ER -
English
