Improved channel estimation with partial sparse constraint for AF cooperative communication systems

Guan Gui, Wei Peng, Fumiyuki Adachi

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    Accurate channel state information (CSI) is necessary for coherent detection in amplify and forward (AF) broadband cooperative communication systems. Based on the assumption of ordinary sparse channel, efficient sparse channel estimation methods have been investigated in our previous works. However, when the cooperative channel exhibits partial sparse structure rather than ordinary sparsity, our previous method cannot take advantage of the prior information. In this paper, we propose an improved channel estimation method with partial sparse constraint on cooperative channel. At first, we formulate channel estimation as a compressive sensing problem and utilize sparse decomposition theory. Secondly, the cooperative channel is reconstructed by LASSO with partial sparse constraint. Finally, numerical simulations are carried out to confirm the superiority of proposed methods over ordinary sparse channel estimation methods.

    Original languageEnglish
    Pages953-958
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012 - Jeju Island, Korea, Republic of
    Duration: 2012 Oct 152012 Oct 17

    Other

    Other18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012
    Country/TerritoryKorea, Republic of
    CityJeju Island
    Period12/10/1512/10/17

    ASJC Scopus subject areas

    • Computer Networks and Communications

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