A Comparison of Ungerboeck and Forney Models for Reduced-Complexity ISI Equalization

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

This paper investigates the performance of reduced-state
trellis-based intersymbol interference equalizers, which are based
on the so-called Ungerboeck and Forney observation models.
Although the two models are equivalent when an optimum equalizer
is employed, their performances differ significantly when using
reduced-complexity methods. It is demonstrated that practical
equalizers operating on the Forney model outperform those
operating on the Ungerboeck model for high signal-to-noise ratios
(SNRs), while the situation is reversed for low SNR levels. A
novel reduced-complexity equalization strategy that improves on
previous Ungerboeck-based equalizers is proposed.

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering
Original languageEnglish
Title of host publicationIEEE Global Telecommunications Conference, 2007. GLOBECOM '07.
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages1431-1436
ISBN (Print)978-1-4244-1043-9
Publication statusPublished - 2007
Publication categoryResearch
Peer-reviewedYes
EventIEEE Global communications conference (Globecom), 2007 - Washington D.C., Washington D.C., United States
Duration: 2007 Nov 262007 Nov 30

Publication series

Name
ISSN (Print)1930-529X

Conference

ConferenceIEEE Global communications conference (Globecom), 2007
CountryUnited States
CityWashington D.C.
Period2007/11/262007/11/30

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