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, 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 simulation, it is shown that the proposed modification method is quite effective for fast convergence of LMS-based adaptive equalizers.
|Number of pages
|Digest of Technical Papers - IEEE International Conference on Consumer Electronics
|Published - 1994
|Proceedings of the IEEE International Conference on Consumer Electronics - Chicago, IL, USA
Duration: 21 Jun 1994 → 23 Jun 1994