Computationally efficient 2-step QRM-MLD for single-carrier transmissions

Katsuhiro Temma, Tetsuya Yamamoto, Fumiyuki Adachi

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

    3 Citations (Scopus)

    Abstract

    Recently, a frequency-domain block signal detection (FDBD) using maximum likelihood detection (MLD) employing QR decomposition and M-algorithm (QRM-MLD) was proposed for the reception of the single-carrier (SC) signals transmitted over a frequency-selective fading channel. SC-FDBD with QRMMLD can significantly improve the bit error rate (BER) performance of SC transmission while reducing significantly the computational complexity compared to the MLD. However, its computational complexity is still high. In this paper, we propose a computationally efficient 2-step QRM-MLD SC-FDBD. Compared to conventional QRM-MLD, the number of symbol candidates can be reduced by using the decision made by minimum mean square error based frequency-domain equalization (MMSE-FDE). We evaluate the BER performance achievable by 2-step QRM-MLD and show that it can significantly reduce the computational complexity while keeping the BER performance almost the same as the conventional QRMMLD.

    Original languageEnglish
    Title of host publication12th IEEE International Conference on Communication Systems 2010, ICCS 2010
    Pages782-786
    Number of pages5
    DOIs
    Publication statusPublished - 2010
    Event12th IEEE International Conference on Communication Systems 2010, ICCS 2010 - Singapore, Singapore
    Duration: 2010 Nov 172010 Nov 19

    Publication series

    Name12th IEEE International Conference on Communication Systems 2010, ICCS 2010

    Other

    Other12th IEEE International Conference on Communication Systems 2010, ICCS 2010
    Country/TerritorySingapore
    CitySingapore
    Period10/11/1710/11/19

    Keywords

    • Block signal detection
    • MMSE-FDE
    • QRM-MLD
    • Single-carrier

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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