Maximum likelihood receiver for multiple channel transmission systems

Wim van Etten

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

    148 Downloads (Pure)


    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
    Number of pages8
    ISBN (Print)0-470-11268-9
    Publication statusPublished - 2007

    Publication series

    PublisherJohn Wiley & Sons, Inc. Publication


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

    Cite this