LOW COMPLEXITY SPACE-TIME CODED SYSTEMS

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Space-time coding (STC) techniques have become popular since they oer high data rates while achieving low error rates over wireless links. When the transmission rates are increased by making the symbol periods smaller, the channel becomes frequency selective (FS). The optimal receivers for STC systems over FS fading channels require prohibitively high hardware/software complexity. With the motivation of reducing this complexity, this book proposes several simplified approaches for STC transmissions over multiple input multiple output (MIMO) FS fading channels. In the first part of the book, we study a low complexity iterative MIMO receiver based on MIMO decision feedback equalization (DFE). In the second part, we study a soft-input soft-output equalization based on the stack decoding algorithm. In the third part, we study the performance of STC techniques with transmit antenna selection and with joint transmit and receive antenna selection over at fading channels.

Autorentext

Tansal Gucluoglu received the B.S. degree from Middle East Technical University in 1997, the M.S. degree from Syracuse University, 2001 and the Ph.D. degree from Arizona State University in 2006, all in electrical engineering. Since 2006, he has been an Assistant Professor at Kadir Has University, Istanbul.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783838372808
    • Genre Elektrotechnik
    • Sprache Englisch
    • Anzahl Seiten 156
    • Größe H220mm x B150mm x T10mm
    • Jahr 2010
    • EAN 9783838372808
    • Format Kartonierter Einband
    • ISBN 3838372808
    • Veröffentlichung 07.06.2010
    • Titel LOW COMPLEXITY SPACE-TIME CODED SYSTEMS
    • Autor Tansal Gucluoglu
    • Untertitel REDUCED COMPLEXITY ALGORITHMS FOR SPACE-TIME CODED SYSTEMS OVER FREQUENCY SELECTIVE FADING CHANNELS
    • Gewicht 250g
    • Herausgeber LAP LAMBERT Academic Publishing

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