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 |
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DOI | |
出版ステータス | Published - 2013 1月 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月 10 → 2013 12月 13 |
Other
Other | 9th International Conference on Information, Communications and Signal Processing, ICICS 2013 |
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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