A novel receiver design for training sequence inserted OFDM transmission

Tetsuya Yamamoto, Fumiyuki Adachi

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

    Abstract

    Orthogonal frequency division multiplexing (OFDM) has been attracting much attention due to the robustness against the frequency selective fading. Instead of well-known cyclic prefix (CP) insertion, a known training sequence (TS) insertion can also be used for OFDM block transmission. In this paper, we propose a new receiver design, which can obtain the frequency diversity gain through the use of frequency-domain equalization (FDE), for TS-OFDM. The conditional bit error rate (BER) analysis of the proposed FDE is presented. The average BER performance of the TS-OFDM signal transmission in a frequency-selective Rayleigh fading channel is evaluated by Monte-Carlo numerical computation method using the derived conditional BER and is confirmed by computer simulation. Numerical results show the proposed TS-OFDM receiver improves BER and throughput performances of TS-OFDM compared to the conventional TSOFDM receiver. It was also shown that the TS-OFDM with the proposed receiver provides better BER and throughput performances than the CP-OFDM due to the frequency diversity gain.

    Original languageEnglish
    Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
    DOIs
    Publication statusPublished - 2013 Dec 1
    Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
    Duration: 2013 Sept 22013 Sept 5

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Other

    Other2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
    Country/TerritoryUnited States
    CityLas Vegas, NV
    Period13/9/213/9/5

    Keywords

    • Component
    • Frequency-domain equalization
    • OFDM
    • Training sequence

    ASJC Scopus subject areas

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

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