淡江大學機構典藏:Item 987654321/46219
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46219


    Title: Maximum-Likelihood Decoding for Nonorthogonal and Orthogonal Linear Space–Time Block Codes
    Authors: Liu, Hong-Yu;Yen, Rainfield Y.
    Contributors: 淡江大學電機工程學系
    Keywords: Antenna diversity;fading channels;linear space–time block codes (LSTBCs);orthogonal space–time block codes (OSTBCs).
    Date: 2008-03
    Issue Date: 2010-03-26 21:19:33 (UTC+8)
    Publisher: Piscataway: Institute of Electrical and Electronics Engineers
    Abstract: It is a general consensus that an orthogonal space-time block code can achieve full diversity, and due to its orthogonal nature, the multiple-input-multiple-output (MIMO) maximum-likelihood (ML) decoding metrics can be decoupled into single-input-single-output (SISO) ML metrics based on linear processing at the receiver, thus greatly reducing the decoding complexity. In fact, nonorthogonal codes also currently exist that can achieve better symbol-error-rate performance without rate reduction and complexity increase for correlated fading channels. In this paper, we show by detailed derivations that nonorthogonal linear space-time block codes can also be decoded by ML decoupling through receiver linear processing. Our derived expressions for the decoupled ML metrics automatically contain the design information for the receiver linear processors.
    Relation: IEEE Transactions on Vehicular Technology 57(2), pp.954-961
    DOI: 10.1109/TVT.2007.907287
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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