Decision feedback equalization and channel coding for multilevel modulation

Author

Belzile, Jean ; Gagnon, François

Author_Institution

Dept. of Electr. Eng., Ecole de Technol. Superieure, Montreal, Que., Canada

Volume

1

fYear

1996

fDate

26-29 May 1996

Firstpage

210

Abstract

A new radio system architecture combining a decision feedback equalizer and soft decision threshold decoder has been developed. The architecture is presented for a bandwidth efficient MQAM constellation. This new architecture permits the decision feedback equalizer to use the results of the decoder in both the error estimation and the post-cursor ISI cancellation. Feedback decision error rates are thus much smaller than with the usual channel decisions. At low signal to noise ratios, performances are much improved. The simulation of this system with a rate 3/4 self orthogonal convolutional code and 16 QAM on a Rummler (1978) channel model has shown coding gain improvements of 1 dB over independent equalizing and decoding

Keywords

channel coding; convolutional codes; decision feedback equalisers; decoding; digital radio; interference suppression; intersymbol interference; microwave links; quadrature amplitude modulation; telecommunication channels; DFE; Rummler channel model; bandwidth efficient MQAM constellation; channel coding; channel decisions; coding gain; decision feedback equalization; decision feedback equalizer; error estimation; feedback decision error rates; low signal to noise ratios; microwave radio; multilevel modulation; postcursor ISI cancellation; radio system architecture; rate 3/4 self orthogonal convolutional code; soft decision threshold decoder; system performance; system simulation; AWGN; Channel coding; Convolutional codes; Decision feedback equalizers; Decoding; Delay; Error analysis; Filters; Modulation coding; Quadrature amplitude modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1996. Canadian Conference on

Conference_Location

Calgary, Alta.

ISSN

0840-7789

Print_ISBN

0-7803-3143-5

Type

conf

DOI

10.1109/CCECE.1996.548074

Filename

548074