Improved 2-step QRM-ML block signal detection for single-carrier transmission

Katsuhiro Temma, Tetsuya Yamamoto, Fumiyuki Adachi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)


    A new 2-step maximum likelihood block signal detection employing QR decomposition and M-algorithm (QRM-MLBD) is proposed to further reduce the computational complexity while keeping a good bit error rate (BER) performance for the single-carrier (SC) transmission in a frequency-selective fading channel. Prior to QRM-MLBD, a computationally efficient minimum mean square error based frequency-domain equalization (MMSE-FDE) is performed to discard the symbol candidates in the tree based on the soft decision results of MMSE-FDE. We evaluate, by computer simulation, the BER performance achievable by the proposed improved 2-step QRM-MLBD and show that the proposed scheme can reduce the computational complexity compared to the previously proposed conventional 2-step QRM-MLBD while keeping the same BER performance.

    Original languageEnglish
    Title of host publication2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
    Publication statusPublished - 2011
    EventIEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States
    Duration: 2011 Sep 52011 Sep 8

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252


    OtherIEEE 74th Vehicular Technology Conference, VTC Fall 2011
    Country/TerritoryUnited States
    CitySan Francisco, CA


    • M-algorithm
    • MMSE-FDE
    • QR decomposition
    • Single-carrier
    • block signal detection

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics


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