Improvement of multipath delay resolution with imaging components on separate frequency channel in fractional sampling OFDM

Yutaro Nakagawa, Mamiko Inamori, Yukitoshi Sanada

    Research output: Contribution to journalArticle

    Abstract

    In this paper, an imaging components transmission scheme for the improvement of multipath delay resolution in a Fractional Sampling (FS) OFDM receiver is proposed. FS has been proposed as a diversity scheme and achieves path diversity by enlarging the bandwidth of the baseband filters in order to transmit the imaging components of the desired signal. However, FS is not able to achieve diversity with very short delay multipaths because of its low multipath delay resolution. Wider band-width of the transmission signal is required to improve the resolution of the delay. On the other hand, cognitive radio is an emerging technology to uti-lize frequency spectrum flexibly through dynamic spectrum access (DSA). To resolve the small delay multipaths and to use the spectrum flexibly with DSA, this paper investigates the FS path diversity with the imaging compo-nents on the separated frequency channel. The correlation between the 2 FS branches is analyzed theoretically on the 2 path channel under the condi-tions of sampling interval, delay spread, and frequency separation. Numer-ical results through computer simulation show that the proposed scheme improves the multipath resolution and the bit error rate (BER) performance under the existence of small delay multipaths.

    Original languageEnglish
    Pages (from-to)1971-1979
    Number of pages9
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    VolumeE95-A
    Issue number11
    DOIs
    Publication statusPublished - 2012 Nov

    Keywords

    • DSA
    • Fractional sampling
    • Imaging component
    • Multipath
    • OFDM
    • Resolution

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Graphics and Computer-Aided Design
    • Electrical and Electronic Engineering
    • Applied Mathematics

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