Adaptive blind source separation and equalization for multiple-input/multiple-output systems

Authors
Citation
Y. Li et Kjr. Liu, Adaptive blind source separation and equalization for multiple-input/multiple-output systems, IEEE INFO T, 44(7), 1998, pp. 2864-2876
Citations number
43
Categorie Soggetti
Information Tecnology & Communication Systems
Journal title
IEEE TRANSACTIONS ON INFORMATION THEORY
ISSN journal
00189448 → ACNP
Volume
44
Issue
7
Year of publication
1998
Pages
2864 - 2876
Database
ISI
SICI code
0018-9448(199811)44:7<2864:ABSSAE>2.0.ZU;2-5
Abstract
In this paper, we investigate adaptive blind source separation and equaliza tion for multiple-input/multiple-output (MIMO) systems. We first analyze th e convergence of the constant modulus algorithm (CMA) used in MIMO systems (MIMO-CMA). Our analysis reveals that the MIMO-CMA equalizer is able to rec over one of the input signals, remove the intersymbol interference (ISI), a nd suppress the other input signals. Furthermore, for the MIMO finite impul se response (FIR) systems satisfying certain conditions, the MIMO-CMA FIR e qualizers are able to perfectly recover one of the system inputs regardless of the initial settings. We then propose a novel algorithm for blind sourc e separation and equalization for MIMO systems. Our theoretical analysis pr oves that the new blind algorithm is able to recover all system inputs simu ltaneously regardless of the initial settings. Finally, computer simulation examples are presented to confirm our analysis and illustrate the effectiv eness of blind source separation and equalization for MIMO systems.