Paper data
Title:
A novel cluster based MLSE equalizer for 2-PAM signaling scheme
Author(s):
Kopsinis Yannis, Dept. of Informatics and Telecommunications, University of Athens, Panepistimioupolis, Ilisia 15784,
Theodoridis Sergios, Dept. of Informatics and Telecommunications, University of Athens, Panepistimioupolis, Ilisia 15784,
Page numbers in the proceedings:
Volume II pp 57-60
Session:
Non linear Techniques for Channel Equalization (1/2)
A novel cluster based MLSE equalizer for 2-PAM signaling scheme
Author(s):
Kopsinis Yannis, Dept. of Informatics and Telecommunications, University of Athens, Panepistimioupolis, Ilisia 15784,
Theodoridis Sergios, Dept. of Informatics and Telecommunications, University of Athens, Panepistimioupolis, Ilisia 15784,
Page numbers in the proceedings:
Volume II pp 57-60
Session:
Non linear Techniques for Channel Equalization (1/2)
Paper abstract
In this paper a new cluster based Maximum Likelihood Sequence Equalizer is presented. The novelty of the algorithm consists of a novel technique for the estimation of all the centers around which the received observations are clustered.For a channel of order L and a 2-PAM signaling scheme, only L of the cluster centers need to be estimated, and the rest of the clusters are subsequently obtained via simple operations. This has a two fold advantage compared to previously proposed cluster based algorithms. It reduces dramatically the computational complexity as well as the required length of the
training sequence. The method is compared with the standard LMS based MLSE and the Bayesian RBF equalizer. The results are very favorable for the new technique, both from a computational as well as performance point of view.
Paper
