Hybrid equalization strategies for iterative equalization anddecoding

Michael Tüchler; Ralf Koetter; Andrew Singer

doi:10.1109/ISIT.2001.936130

Hybrid equalization strategies for iterative equalization anddecoding

Michael Tüchler
, Ralf Koetter
, Andrew Singer

Office of the Dean of the College of Engineering and Applied Sciences

Technical University of Munich
University of Illinois at Urbana-Champaign

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Joint iterative equalization and decoding is a very successful approach to dealing with severe inter-symbol interference in band limited communication channels. We propose and investigate adaptive iterative methods that yield performance close to Turbo equalization while requiring considerably smaller complexity.

Original language	English
Pages (from-to)	267
Number of pages	1
Journal	IEEE International Symposium on Information Theory - Proceedings
DOIs	https://doi.org/10.1109/ISIT.2001.936130
State	Published - 2001

Access to Document

10.1109/ISIT.2001.936130

Cite this

@article{26cfa2002d9d4f99a6c2b9ba0803a1c9,

title = "Hybrid equalization strategies for iterative equalization anddecoding",

abstract = "Joint iterative equalization and decoding is a very successful approach to dealing with severe inter-symbol interference in band limited communication channels. We propose and investigate adaptive iterative methods that yield performance close to Turbo equalization while requiring considerably smaller complexity.",

author = "Michael T{\"u}chler and Ralf Koetter and Andrew Singer",

year = "2001",

doi = "10.1109/ISIT.2001.936130",

language = "English",

pages = "267",

journal = "IEEE International Symposium on Information Theory - Proceedings",

issn = "2157-8097",

}

TY - JOUR

T1 - Hybrid equalization strategies for iterative equalization anddecoding

AU - Tüchler, Michael

AU - Koetter, Ralf

AU - Singer, Andrew

PY - 2001

Y1 - 2001

N2 - Joint iterative equalization and decoding is a very successful approach to dealing with severe inter-symbol interference in band limited communication channels. We propose and investigate adaptive iterative methods that yield performance close to Turbo equalization while requiring considerably smaller complexity.

AB - Joint iterative equalization and decoding is a very successful approach to dealing with severe inter-symbol interference in band limited communication channels. We propose and investigate adaptive iterative methods that yield performance close to Turbo equalization while requiring considerably smaller complexity.

UR - https://www.scopus.com/pages/publications/0034858499

U2 - 10.1109/ISIT.2001.936130

DO - 10.1109/ISIT.2001.936130

M3 - Article

AN - SCOPUS:0034858499

SN - 2157-8097

SP - 267

JO - IEEE International Symposium on Information Theory - Proceedings

JF - IEEE International Symposium on Information Theory - Proceedings

ER -

Hybrid equalization strategies for iterative equalization anddecoding

Abstract

Access to Document

Other files and links

Fingerprint

Cite this