Performance of frequency offset estimation in the presence of IQ imbalance for OFDM direct conversion receivers

Mamiko Inamori, Anas M. Bostamam, Yukitoshi Sanada

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

    4 Citations (Scopus)

    Abstract

    In WLAN receivers, a direct conversion architecture has been implemented in recent years. Though this architecture reduces cost and power consumption, it may suffer from direct current (DC) offset and frequency offset. To reduce the effect of DC offset, a frequency offset estimation scheme with a differential filter for orthogonal frequency division multiplexing (OFDM) direct conversion receivers has been proposed. However, the receiver may also suffer from IQ imbalance, which deteriorates the performance of frequency offset estimation. In this paper, the performance analysis of the frequency offset estimation scheme with the differential filter in the presence of IQ imbalance is derived. The numerical results obtained through computer simulations show that the derived analysis provides close approximation to the performance of the frequency offset estimation scheme. It also clarifies the dependency of the mean square error on the waveform of the preamble symbols, which is caused by IQ imbalance.

    Original languageEnglish
    Title of host publicationPACRIM 2009 - 2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
    Pages826-831
    Number of pages6
    DOIs
    Publication statusPublished - 2009 Dec 1
    EventPACRIM 2009 - 2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing - Victoria, BC, Canada
    Duration: 2009 Aug 232009 Aug 26

    Publication series

    NameIEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

    Other

    OtherPACRIM 2009 - 2009 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing
    Country/TerritoryCanada
    CityVictoria, BC
    Period09/8/2309/8/26

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Networks and Communications

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