Adaptive algorithms for channel equalization with soft decision feedback

Author

Kim, Young-Hoon ; Shamsunder, Sanyogita

Author_Institution

Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA

Volume

16

Issue

9

fYear

1998

fDate

12/1/1998 12:00:00 AM

Firstpage

1660

Lastpage

1669

Abstract

A new approach based on joint entropy maximization (JEM) is taken and adaptive algorithms are developed for channel equalization with a decision feedback equalizer (DFE). The proposed work generalizes the existing algorithms for DFE with a hard decision device. Previous research has shown that when the hard decisions in a DFE are replaced with soft decisions, the performance of the adaptive algorithms [e.g., minimum mean square error (MMSE)] improves dramatically. The soft decisions can be introduced naturally via the viewpoint taken here. Additionally, constant modulus and other (blind) algorithms for DFE with soft decisions can be derived from this JEM approach

Keywords

adaptive equalisers; blind equalisers; convergence of numerical methods; decision feedback equalisers; least mean squares methods; maximum entropy methods; telecommunication channels; DFE; MMSE; adaptive algorithms; algorithms; blind algorithms; channel equalization; constant modulus algorithms; convergence analysis; decision feedback equalizer; hard decision device; joint entropy maximization; minimum mean square error; soft decision feedback; Adaptive algorithm; Adaptive equalizers; Computer errors; Decision feedback equalizers; Entropy; Intersymbol interference; Mean square error methods; Multimedia systems; Signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/49.737635

Filename

737635