Memory truncation and crosstalk cancellation in transmultiplexers

Author

Mertins, Alfred

Author_Institution

Sch. of Electr. Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia

Volume

3

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

180

Lastpage

182

Abstract

This article addresses the design of linear networks that reduce intersymbol interference and crosstalk in transmultiplexers. The proposed filter design method is based on the maximization of the signal-to-noise ratio at the detector input, defined for channel memories being truncated to arbitrarily short lengths. Thus, low-complexity Viterbi (1986) detectors working independently for all data channels can be used. The design of minimum mean-square error equalizer networks is included in the framework.

Keywords

Viterbi detection; channel bank filters; crosstalk; equalisers; filtering theory; interference suppression; intersymbol interference; least mean squares methods; linear network synthesis; transmultiplexing; MMSE; SNR maximization; channel memories; crosstalk cancellation; data channels; detector input; filter banks; filter design method; intersymbol interference reduction; linear network design; low-complexity Viterbi detectors; memory truncation; minimum mean-square error equalizer networks; signal-to-noise ratio; transmultiplexers; Channel bank filters; Crosstalk; Delay; Detectors; Equalizers; Filter bank; Intelligent networks; Intersymbol interference; Nonlinear filters; Viterbi algorithm;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/4234.769523

Filename

769523