• DocumentCode
    3271281
  • Title

    Reconfigurable K-best algorithm for MIMO detection systems

  • Author

    Lin, Kuang-Hao ; Lin, Chih-Hung ; Chang, Robert Chen-Hao ; Chang, I-Ju

  • Author_Institution
    Dept. of Electron. Eng., Nat. Chin-Yi Univ. of Technol., Taiping, Taiwan
  • fYear
    2009
  • fDate
    8-10 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The maximum likelihood (ML) detection is the optimal detection method for multiple-input multiple-output (MIMO) communication systems. The normal K-best sphere decoding algorithm (SDA) can guarantee a fixed throughput, but it induces a large bit error rate (BER) degradation. In order to achieve close-to-ML performance, the K value needs to be sufficiently large. Thus, it needs large computation with long latency and low throughput. In this paper, a reconfigurable K-best SDA is proposed by using fixed K values for different layers of K-best detection, which can increase the MIMO detection performance. The architecture of 4×4 MIMO detector is designed for both 16QAM and 64QAM modulation.
  • Keywords
    MIMO communication; decoding; error statistics; maximum likelihood detection; quadrature amplitude modulation; 16QAM modulation; 64QAM modulation; BER degradation; MIMO detection systems; large bit error rate degradation; low throughput; maximum likelihood detection; multiple-input multiple-output communication systems; normal K-best sphere decoding algorithm; reconfigurable K-best algorithm; Bit error rate; Computer architecture; Detectors; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Receiving antennas; Space technology; Throughput; Wireless communication; Detection; K-Best; MIMO; Maximum Likelihood; Sphere Decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4244-4656-8
  • Electronic_ISBN
    978-1-4244-4657-5
  • Type

    conf

  • DOI
    10.1109/ICICS.2009.5397648
  • Filename
    5397648