• DocumentCode
    2984361
  • Title

    A Sphere Decoding Algorithm for MIMO Channels

  • Author

    Hung, Chin-Yun ; Sang, Tzu-Hsien

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu
  • fYear
    2006
  • fDate
    Aug. 2006
  • Firstpage
    502
  • Lastpage
    506
  • Abstract
    Multi-input multi-output (MIMO) transmission has become a popular technique to increase spectral efficiency. Meanwhile, the design of cost-effective receivers for MIMO channels remains a challenging task. Maximum-likelihood (ML) detector can achieve superb performance, yet the computational complexity is enormously high. Receivers based on sphere decoding (SD) reach the performance of ML detectors, and potentially a great deal of computational cost can be saved. In this paper, a practical sphere-decoding algorithm is proposed. It utilizes a simple and effective way to set the initial radius which plays a decisive role in determining the computational complexity. Furthermore, a pseudo-antenna augmentation scheme is employed such that SD can be applied where the number of receive antennas is less than that of transmit antennas; thus enhance the applicability of this powerful algorithm
  • Keywords
    MIMO communication; antenna arrays; computational complexity; decoding; maximum likelihood detection; wireless channels; MIMO channels; computational complexity; maximum-likelihood detector; multi-input multi-output transmission; pseudo-antenna augmentation scheme; receive antennas; spectral efficiency; sphere decoding algorithm; transmit antennas; Computational complexity; Computational efficiency; Detectors; Interference cancellation; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Receiving antennas; Signal processing algorithms; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2006 IEEE International Symposium on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9753-3
  • Electronic_ISBN
    0-7803-9754-1
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2006.270853
  • Filename
    4042295