Abstract
In adaptive equalizers based on least mean squares (LMS) algorithms, the convergence rate is dctcrmined 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, for 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.
Original language | English |
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Pages (from-to) | 645-654 |
Number of pages | 10 |
Journal | IEEE Transactions on Consumer Electronics |
Volume | 40 |
Issue number | 3 |
DOIs | |
State | Published - Aug 1994 |