• DocumentCode
    1616917
  • Title

    Analysis of Differential Unitary Space-Time Modulation over Non-Identical MIMO Channels

  • Author

    Tao, Meixia

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai
  • fYear
    2008
  • Firstpage
    1249
  • Lastpage
    1253
  • Abstract
    We present an analytical study on the error performance of differential unitary space-time modulation (DUSTM) over multiple-input multiple-output (MIMO) channels with non- identical fading statistics. The channel for each transmit-receive antenna pair is assumed to be independent, non-identically distributed (i.n.i.d), and time-varying Rayleigh fading. We first show that the maximum-likelihood (ML) differential detector of DUSTM over such channels is involved except for differential cyclic group codes. Applying the distribution of quadratic forms of Gaussian vectors, we derive closed-form expressions for the exact error probabilities of two specific unitary classes, namely, cyclic group codes and orthogonal codes. Simple and useful asymptotic bounds are also obtained. Our analysis leads to several general findings.
  • Keywords
    MIMO communication; Rayleigh channels; error statistics; maximum likelihood detection; modulation; orthogonal codes; receiving antennas; time-varying channels; transmitting antennas; Gaussian vectors; cyclic group codes; differential cyclic group codes; differential unitary space-time modulation; fading statistics; maximum-likelihood differential detector; multiple-input multiple-output channels; nonidentical MIMO channels; orthogonal codes; time-varying Rayleigh fading; transmit-receive antenna pair; Closed-form solution; Detectors; Error analysis; MIMO; Maximum likelihood detection; Performance analysis; Rayleigh channels; Statistical analysis; Statistical distributions; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.243
  • Filename
    4533279