• DocumentCode
    2157782
  • Title

    Adaptive MIMO detection algorithm by jointly exploiting the properties of signal and channel

  • Author

    Ding, Yuehua ; Wang, Yide ; Diouris, Jean-François

  • Author_Institution
    IREENA, Ecole Polytech. de l´´Univ. de Nantes, Nantes, France
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3228
  • Lastpage
    3231
  • Abstract
    The purpose of this paper is to develop an algorithm achieving the performance of fixed-complexity decoder (FSD) with much lower complexity than FSD. An adaptive expansion strategy (AES) is proposed for MMSE Ordered Successive Interference Canceling (MMSE-OSIC). The expansion degree varies according to the channel condition, especially, partial expansion (PE) is proposed in this paper as a transition between Single expansion (SE) and full expansion (FE). Widely linear processing, which is usually confined to non circular signals, is extended to circular signals in PE. Simulation shows that the proposed AES can significantly reduce the complexity with little performance loss, compared with FSD.
  • Keywords
    MIMO communication; adaptive decoding; adaptive signal detection; array signal processing; communication complexity; interference suppression; least mean squares methods; wireless channels; FSD; MMSE-OSIC; adaptive MIMO detection algorithm; adaptive expansion strategy; array signal processing; channel condition; channel properties; circular signals; fixed-complexity decoder; full expansion; linear processing; noncircular signal processing; ordered successive interference canceling; partial expansion; signal properties; single expansion; Arrays; Bit error rate; Complexity theory; Interference; Iron; MIMO; Phase shift keying; MIMO systems; array signal processing; non circular; signal detection; widely linear;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946709
  • Filename
    5946709