期刊論文

學年 96
學期 2
出版(發表)日期 2008-03-01
作品名稱 Maximum-Likelihood Decoding for Nonorthogonal and Orthogonal Linear Space–Time Block Codes
作品名稱(其他語言)
著者 Liu, Hong-Yu; Yen, Rainfield Y.
單位 淡江大學電機工程學系
出版者 Piscataway: Institute of Electrical and Electronics Engineers
著錄名稱、卷期、頁數 IEEE Transactions on Vehicular Technology 57(2), pp.954-961
摘要 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.
關鍵字 Antenna diversity;fading channels;linear
 space–time block codes (LSTBCs);orthogonal space–time block codes (OSTBCs).
語言 en
ISSN 0018-9545
期刊性質 國外
收錄於 EI SCI
產學合作
通訊作者 Yen, Rainfield Y.
審稿制度
國別 USA
公開徵稿
出版型式 紙本
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