DocumentCode
1549151
Title
A constant modulus algorithm for multiuser signal separation in presence of delay spread using antenna arrays
Author
Papadias, Constantinos B. ; Paulraj, Arogyaswami J.
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume
4
Issue
6
fYear
1997
fDate
6/1/1997 12:00:00 AM
Firstpage
178
Lastpage
181
Abstract
The consider the problem of recovering p synchronous communication signals that are transmitted through a multiple-input/multiple-output (MIMO) linear channel and are, therefore, received in the presence of both interuser (IUI) and intersymbol interference (ISI). A multichannel linear equalization approach is taken, and we propose to adjust the equalizer coefficients with a blind adaptive algorithm (without the use of training data). This multiuser constant modulus algorithm (MU-CMA) is derived from the minimization of a cost function that penalizes deviations of the equalized signals from the constant modulus property as well as cross-correlations between them. The proposed scheme appears to be an appealing technique for multiuser blind equalization that combines good convergence properties with low computational complexity.
Keywords
MIMO systems; adaptive equalisers; antenna arrays; array signal processing; computational complexity; convergence of numerical methods; delays; intersymbol interference; multi-access systems; signal reconstruction; antenna arrays; blind adaptive algorithm; computational complexity; constant modulus algorithm; convergence properties; cost function; cross-correlations; delay spread; equalized signals; equalizer coefficients; intersymbol interference; interuser interference; minimization; multichannel linear equalization; multiple-input/multiple-output linear channel; multiuser blind equalization; multiuser constant modulus algorithm; multiuser signal separation; synchronous communication signals; Adaptive algorithm; Adaptive equalizers; Blind equalizers; Convergence; Cost function; Intersymbol interference; MIMO; Minimization methods; Source separation; Training data;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.586042
Filename
586042
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