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.
| Original language | English |
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| DOIs | |
| Publication status | Published - 2013 |
| Event | 9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan, Province of China Duration: 2013 Dec 10 → 2013 Dec 13 |
Other
| Other | 9th International Conference on Information, Communications and Signal Processing, ICICS 2013 |
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| Country/Territory | Taiwan, Province of China |
| City | Tainan |
| Period | 13/12/10 → 13/12/13 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Signal Processing
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