Polynomial prediction RLS channel estimation for DS-CDMA frequency-domain equalization

Yohei Kojima, Kazuki Takeda, Fumiyuki Adachi

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

    1 Citation (Scopus)

    Abstract

    Recently, we have proposed an adaptive channel estimation (CE) scheme using one-tap recursive least square (RLS) algorithm (adaptive RLS-CE), where the forgetting factor is adapted to the changing channel condition by the least mean square (LMS) algorithm, for direct sequence-code division multiple access (DS-CDMA) with frequency-domain equalization (FDE). However, the tracking ability for adaptive RLS-CE is limited since the channel estimate obtained from the previously received block is used. In this paper, we introduce the polynomial prediction to improve the tracking ability. We evaluate the bit error rate (BER) performance of DS-CDMA using polynomial prediction RLS-CE in a frequency-selective fast Rayleigh fading channel by computer simulation.

    Original languageEnglish
    Title of host publicationProceedings of the 2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall - Anchorage, AK, United States
    Duration: 2009 Sep 202009 Sep 23

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Other

    Other2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
    Country/TerritoryUnited States
    CityAnchorage, AK
    Period09/9/2009/9/23

    Keywords

    • Channel estimation
    • Components
    • DS-CDMA
    • Frequency-domain equalization
    • Prediction
    • RLS algorithm

    ASJC Scopus subject areas

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

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