Title :
Blind equalization of nonlinear channels using Hidden Markov Models
Author :
Georgoulakis, Kristina ; Theodoridis, Sergios
Author_Institution :
Dept. of Inf., Univ. of Athens, Athens, Greece
Abstract :
A novel blind channel equalizer is proposed which is suitable both for linear and nonlinear channels. The proposed equalizer consists of the following three steps: identification of the clusters formed by the received data samples, via an unsupervised learning clustering technique; labeling of the identified clusters, by using a Hidden Markov Modeling (HMM) of the process; and channel equalization by means of a Cluster Based Sequence Equalizer. The performance of the equalizer is investigated for a variety of channels (minimum/non-minimum phase, linear/nonlinear channels).
Keywords :
blind equalisers; hidden Markov models; pattern clustering; telecommunication computing; unsupervised learning; blind channel equalizer; cluster based sequence equalizer; cluster identification; hidden Markov models; identified cluster labeling; nonlinear channels; nonminimum phase channel; unsupervised learning clustering technique; Blind equalizers; Channel estimation; Clustering algorithms; Hidden Markov models; Labeling; Training;
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
