Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise

Lars P.B. Christensen (Invited author)

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    315 Downloads (Pure)

    Abstract

    Minimum symbol error rate detection in Single-Input Multiple- Output(SIMO) channels with Markov noise is presented. The special case of zero-mean Gauss-Markov noise is examined closer as it only requires knowledge of the second-order moments. In this special case, it is shown that optimal detection can be achieved by a Multiple-Input Multiple- Output(MIMO) whitening filter followed by a traditional BCJR algorithm. The Gauss-Markov noise model provides a reasonable approximation for co-channel interference, making it an interesting single-user detector for many multiuser communication systems where interference from other transmitters has a limiting effect.
    Original languageEnglish
    Title of host publicationThe 6th IEEE Workshop on Signal Processing Advances in Wireless Communications
    PublisherIEEE
    Publication date2005
    ISBN (Print)0-7803-8867-4
    DOIs
    Publication statusPublished - 2005
    EventIEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005 -
    Duration: 1 Jan 2005 → …

    Conference

    ConferenceIEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005
    Period01/01/2005 → …

    Bibliographical note

    Copyright: 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Fingerprint

    Dive into the research topics of 'Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise'. Together they form a unique fingerprint.

    Cite this