Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm

Masahiro Yukawa; Yuki Saito

doi:10.1109/ICICS.2013.6782920

Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm

Masahiro Yukawa, Yuki Saito

研究成果: Paper › 査読

1 被引用数 (Scopus)

抄録

A widely linear extension of the linearly and quadratically constrained minimum variance (LQCMV) beamformer is presented. By exploiting the pseudocovariance matrix which is complementary second order statistics for the ordinary covariance matrix, the widely linear LQCMV (WL-LQCMV) beamformer attains better performance when the received data is noncircular. Adaptive implementation of WL-LQCMV by the dual-domain adaptive algorithm (DDAA) brings a remarkable advantage of fast convergence. The key points of the convergence analysis of DDAA are elaborated. The simulation results are presented to show the efficacy of our approach.

本文言語	English
DOI	https://doi.org/10.1109/ICICS.2013.6782920
出版ステータス	Published - 2013 1 1
イベント	9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan, Province of China 継続期間: 2013 12 10 → 2013 12 13

Other

Other	9th International Conference on Information, Communications and Signal Processing, ICICS 2013
国/地域	Taiwan, Province of China
City	Tainan
Period	13/12/10 → 13/12/13

ASJC Scopus subject areas

コンピュータネットワークおよび通信
情報システム
信号処理

文献へのアクセス

10.1109/ICICS.2013.6782920

他のファイルとリンク

引用スタイル

@conference{708b269454bf417dad7ac45e422130fd,

title = "Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm",

abstract = "A widely linear extension of the linearly and quadratically constrained minimum variance (LQCMV) beamformer is presented. By exploiting the pseudocovariance matrix which is complementary second order statistics for the ordinary covariance matrix, the widely linear LQCMV (WL-LQCMV) beamformer attains better performance when the received data is noncircular. Adaptive implementation of WL-LQCMV by the dual-domain adaptive algorithm (DDAA) brings a remarkable advantage of fast convergence. The key points of the convergence analysis of DDAA are elaborated. The simulation results are presented to show the efficacy of our approach.",

author = "Masahiro Yukawa and Yuki Saito",

year = "2013",

month = jan,

day = "1",

doi = "10.1109/ICICS.2013.6782920",

language = "English",

note = "9th International Conference on Information, Communications and Signal Processing, ICICS 2013 ; Conference date: 10-12-2013 Through 13-12-2013",

}

TY - CONF

T1 - Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm

AU - Yukawa, Masahiro

AU - Saito, Yuki

PY - 2013/1/1

Y1 - 2013/1/1

N2 - A widely linear extension of the linearly and quadratically constrained minimum variance (LQCMV) beamformer is presented. By exploiting the pseudocovariance matrix which is complementary second order statistics for the ordinary covariance matrix, the widely linear LQCMV (WL-LQCMV) beamformer attains better performance when the received data is noncircular. Adaptive implementation of WL-LQCMV by the dual-domain adaptive algorithm (DDAA) brings a remarkable advantage of fast convergence. The key points of the convergence analysis of DDAA are elaborated. The simulation results are presented to show the efficacy of our approach.

AB - A widely linear extension of the linearly and quadratically constrained minimum variance (LQCMV) beamformer is presented. By exploiting the pseudocovariance matrix which is complementary second order statistics for the ordinary covariance matrix, the widely linear LQCMV (WL-LQCMV) beamformer attains better performance when the received data is noncircular. Adaptive implementation of WL-LQCMV by the dual-domain adaptive algorithm (DDAA) brings a remarkable advantage of fast convergence. The key points of the convergence analysis of DDAA are elaborated. The simulation results are presented to show the efficacy of our approach.

UR - http://www.scopus.com/inward/record.url?scp=84899091068&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899091068&partnerID=8YFLogxK

U2 - 10.1109/ICICS.2013.6782920

DO - 10.1109/ICICS.2013.6782920

M3 - Paper

AN - SCOPUS:84899091068

T2 - 9th International Conference on Information, Communications and Signal Processing, ICICS 2013

Y2 - 10 December 2013 through 13 December 2013

ER -

Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm

抄録

Other

ASJC Scopus subject areas

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル