Reduced-complexity iterative maximum-likelihood sequence estimation on channels with memory

J. W. Modestino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Existing maximum-likelihood sequence estimation (MLSE) schemes for channels with memory, resulting in intersymbol interference (ISI), have typically been implemented using the Viterbi algorithm (VA). For memoryless modulation schemes the resulting search complexity is O(ML), where M is the alphabet size and L is the length of the ISI span in channel signaling intervals. This complexity renders the VA impractical for large M and/or L. In this paper we describe the structure and properties of a novel reduced-complexity iterative MLSE scheme based upon the expectation-maximization (EM) algorithm. This reduced-complexity iterative MLSE scheme is shown to have complexity O(LM) at each iteration. The approach provides an attractive alternative to the VA for large signaling alphabets and/or ISI span.

Original languageEnglish (US)
Title of host publicationProceedings of the 1993 IEEE International Symposium on Information Theory
PublisherPubl by IEEE
Number of pages1
ISBN (Print)0780308786
StatePublished - Jan 1 1993
EventProceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA
Duration: Jan 17 1993Jan 22 1993

Publication series

NameProceedings of the 1993 IEEE International Symposium on Information Theory

Other

OtherProceedings of the 1993 IEEE International Symposium on Information Theory
CitySan Antonio, TX, USA
Period1/17/931/22/93

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Reduced-complexity iterative maximum-likelihood sequence estimation on channels with memory'. Together they form a unique fingerprint.

  • Cite this

    Modestino, J. W. (1993). Reduced-complexity iterative maximum-likelihood sequence estimation on channels with memory. In Proceedings of the 1993 IEEE International Symposium on Information Theory (Proceedings of the 1993 IEEE International Symposium on Information Theory). Publ by IEEE.