Adaptive decision feedback turbo equalization

Author

Honig, Michael ; Tripathi, Vinayak ; Sun, Yakun

Author_Institution

Dept. of ECE, Northwestern Univ., Evanston, IL, USA

fYear

2002

fDate

2002

Firstpage

413

Abstract

We present an adaptive iterative (turbo) decision feedback equalizer (DFE) for channels with intersymbol interference (ISI). The filter coefficients are computed directly from the soft decisions and the received data to minimize a least squares cost function. This method performs better than a turbo DFE with perfect channel knowledge, where the filters are selected to minimize mean squared error (MSE) assuming perfect feedback. We also present adaptive reduced-rank algorithms, which can further improve performance and reduce complexity.

Keywords

adaptive equalisers; adaptive filters; decision feedback equalisers; filtering theory; intersymbol interference; iterative decoding; least squares approximations; turbo codes; DFE; ISI; adaptive decision feedback turbo equalization; filter coefficients; intersymbol interference; iterative decision feedback equalizer; least squares cost function; reduced-rank algorithms; soft decisions; Adaptive equalizers; Convolutional codes; Cost function; Decision feedback equalizers; Intersymbol interference; Iterative decoding; Least squares methods; Nonlinear filters; Output feedback; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7501-7

Type

conf

DOI

10.1109/ISIT.2002.1023685

Filename

1023685