MODIFICATION OF THE REFERENCE SIGNAL FOR FAST CONVERGENCE IN LMS-BASED ADAPTIVE EQUALIZERS

In adaptive equalizers based on least mean squares (LMS) algorithms, the convergence rate is determined by the correlation matrix of an input signal. When the eigenvalue spread of the correlation matrix is close to unity, the convergence rate is quite fast. In this paper, or fast convergence of LMS-based adaptive equalizers we propose a modified reference signal pertinent to the given statistical channel. From the theoretical analysis and computer simulations, it is shown that the proposed modification method is quite effective for fast convergence of LMS-based adaptive equalizers.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
1994-08
Language
ENG
Citation

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.40, no.3, pp.645 - 654

ISSN
0098-3063
URI
http://hdl.handle.net/10203/877
Appears in Collection
EE-Journal Papers(저널논문)
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