Receiver optimization for dispersive channels employing coded modulation, with application in high rate digital subscriber line transmission

David W. Lin*, Pedro M. Crespo

*Corresponding author for this work

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

The authors consider decision-feedback sequence estimation (DFSE) of coded modulated signals transmitted over dispersive channels and examine its application in high-bit-rate (>144-kb/s) transmission over metallic subscriber lines. To mitigate the adverse effect of colored noise, they consider a scheme called noise prediction. Formulas for optimal receiver filters under a minimum mean-squared-error criterion are derived. It turns out that a key step in the optimization process is the solution of a max-min problem. Because of the complexity in solving this problem, the authors consider a suboptimal solution which leads to a convenient lower bound on the potential transmission performance. The derived theory is applied to a few example subscriber lines. Numerical results show that DFSE has the potential of offering substantial SNR (signal-to-noise-ratio) gain over pure decision-feedback equalization.

Original languageEnglish
Pages (from-to)1742-1746
Number of pages5
JournalConference Record - International Conference on Communications
Volume4
DOIs
StatePublished - 1 Dec 1990
EventIEEE International Conference on Communications - ICC '90 Part 4 (of 4) - Atlanta, GA, USA
Duration: 16 Apr 199019 Apr 1990

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