An adaptive RSSE-PSP receiver with a pre-filter for EDGE systems

Li Zhenhong, O. Piirainen, Aarne Mämmelä

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    8 Citations (Scopus)


    An adaptive reduced-state sequence estimation (RSSE) receiver based on per-survivor processing (PS) in conjunction with a local decision feedback equalizer (DFE) for the EDGE system with 8PSK modulation is proposed in this paper. A pre-filter prior to the RSSE-PSP is exploited to reshape the channel impulse response (CIR) to have approximately a minimum phase property. The pre-filter settings are computed indirectly by estimating the CIR from the midamble with the least squares algorithm and then applying the minimum-mean square error (MMSE) criterion to reshape the estimated CIR. The proposed scheme handles the first part of the sampled CIR by the RSSE-PSP and the rest by the local DFE, which utilizes the decision per survivor mechanism for reducing the error propagation and complexity reduction. A good trade-off between the performance and complexity could be achieved by retaining the RSSE-PSP for good performance and local DFE for intersymbol interference cancellation. Computer simulations indicate that the RSSE-PSP with a pre-filter works well in ISI channels with a lower computation burden.
    Original languageEnglish
    Title of host publication2003 IEEE International Conference on Communications, ICC '03
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Print)978-0-7803-7802-5
    Publication statusPublished - 11 Jun 2003
    MoE publication typeA4 Article in a conference publication
    EventIEEE International Conference on Communications, ICC 2003 - Anchorage, United States
    Duration: 11 May 200315 May 2003


    ConferenceIEEE International Conference on Communications, ICC 2003
    Abbreviated titleICC '03
    Country/TerritoryUnited States


    • Decision feedback equalizers
    • Intersymbol interference
    • Time varying systems
    • Interference cancellation
    • Computer simulation
    • Delay estimation
    • Computer errors
    • Least squares approximation


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