Maximum likelihood receiver for multiple channel transmission systems

Wim van Etten

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

A maximum likelihood (ML) estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived. It is shown that the sampled outputs of the multiple matched filter (MMF) form a set of sufficient statistics for estimating the input vector sequence. Two ML vector sequence estimation algorithms are presented. One makes use of the sampled output data of the multiple whitened matched filter and is called the vector Viterbi algorithm. The other one is modification of the vector Viterbi algorithm and uses directly the sampled output of the MMF. It appears that, under a certain condition, the error performance is asymptotically as good as if both ISI and ICI were absent.
Original languageUndefined
Title of host publicationThe best of the best
Place of PublicationNew York, USA
PublisherWiley
Pages305-312
Number of pages8
ISBN (Print)0-470-11268-9
Publication statusPublished - 2007

Publication series

Name
PublisherJohn Wiley & Sons, Inc. Publication

Keywords

  • EWI-9910
  • IR-64041
  • METIS-245715

Cite this

van Etten, W. (2007). Maximum likelihood receiver for multiple channel transmission systems. In The best of the best (pp. 305-312). New York, USA: Wiley.
van Etten, Wim. / Maximum likelihood receiver for multiple channel transmission systems. The best of the best. New York, USA : Wiley, 2007. pp. 305-312
@inbook{97d2aee1d0a24c8ba59539bed61bacbf,
title = "Maximum likelihood receiver for multiple channel transmission systems",
abstract = "A maximum likelihood (ML) estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived. It is shown that the sampled outputs of the multiple matched filter (MMF) form a set of sufficient statistics for estimating the input vector sequence. Two ML vector sequence estimation algorithms are presented. One makes use of the sampled output data of the multiple whitened matched filter and is called the vector Viterbi algorithm. The other one is modification of the vector Viterbi algorithm and uses directly the sampled output of the MMF. It appears that, under a certain condition, the error performance is asymptotically as good as if both ISI and ICI were absent.",
keywords = "EWI-9910, IR-64041, METIS-245715",
author = "{van Etten}, Wim",
year = "2007",
language = "Undefined",
isbn = "0-470-11268-9",
publisher = "Wiley",
pages = "305--312",
booktitle = "The best of the best",
address = "United States",

}

van Etten, W 2007, Maximum likelihood receiver for multiple channel transmission systems. in The best of the best. Wiley, New York, USA, pp. 305-312.

Maximum likelihood receiver for multiple channel transmission systems. / van Etten, Wim.

The best of the best. New York, USA : Wiley, 2007. p. 305-312.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

TY - CHAP

T1 - Maximum likelihood receiver for multiple channel transmission systems

AU - van Etten, Wim

PY - 2007

Y1 - 2007

N2 - A maximum likelihood (ML) estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived. It is shown that the sampled outputs of the multiple matched filter (MMF) form a set of sufficient statistics for estimating the input vector sequence. Two ML vector sequence estimation algorithms are presented. One makes use of the sampled output data of the multiple whitened matched filter and is called the vector Viterbi algorithm. The other one is modification of the vector Viterbi algorithm and uses directly the sampled output of the MMF. It appears that, under a certain condition, the error performance is asymptotically as good as if both ISI and ICI were absent.

AB - A maximum likelihood (ML) estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived. It is shown that the sampled outputs of the multiple matched filter (MMF) form a set of sufficient statistics for estimating the input vector sequence. Two ML vector sequence estimation algorithms are presented. One makes use of the sampled output data of the multiple whitened matched filter and is called the vector Viterbi algorithm. The other one is modification of the vector Viterbi algorithm and uses directly the sampled output of the MMF. It appears that, under a certain condition, the error performance is asymptotically as good as if both ISI and ICI were absent.

KW - EWI-9910

KW - IR-64041

KW - METIS-245715

M3 - Chapter

SN - 0-470-11268-9

SP - 305

EP - 312

BT - The best of the best

PB - Wiley

CY - New York, USA

ER -

van Etten W. Maximum likelihood receiver for multiple channel transmission systems. In The best of the best. New York, USA: Wiley. 2007. p. 305-312