Space-time code design for correlated ricean MIMO channels at finite SNR

Bruno Clerckx, Claude Oestges

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    Space-time code (STC) designs commonly rely on the assumptions of independent and identically distributed (i.i.d.) Rayleigh channels (being either slow or fast fading) and high signal-to-noise ratio (SNR). However, it has been shown that poor scattering conditions can have detrimental effects on the performance of STCs and that the behavior of codes at high SNR is radically different from the finite SNR behavior. This calls for new design criteria that correctly predict the behavior of codes in correlated channels at finite SNR. In this paper, we investigate how spatially and temporally correlated Ricean fading affects the performance of STCs at finite SNR. We derive a code design criterion leading to robust STCs in a wide variety of propagation conditions and do not require any channel knowledge at the transmitter. Codes satisfying this criterion are shown to perform sensibly better in correlated channels than codes designed only for i.i.d. slow or fast Rayleigh-fading channels. Examples of space-time trellis codes and algebraic codes are proposed in order to illustrate the developed criterion.

    Original languageEnglish
    Pages (from-to)4365-4376
    Number of pages12
    JournalIEEE Transactions on Signal Processing
    Volume56
    Issue number9
    DOIs
    Publication statusPublished - 2008

    Bibliographical note

    Funding Information:
    Manuscript received May 22, 2007; revised February 13, 2008. Published August 13, 2008 (projected). The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Geert Leus. The work of B. Clerckx and C. Oestges was supported by the Belgian Fund FRIA and the Belgian NSF, respectively.

    Keywords

    • Correlated channels
    • Finite SNR
    • Multiple-input multiple-output (MIMO)
    • Space - Time coding

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering

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