• DocumentCode
    643357
  • Title

    BER Improvements with Multi-antennas in Maximum Likelihood Decoder

  • Author

    Grover, Anuj

  • Author_Institution
    SBSSTC, Ferozepur, India
  • fYear
    2013
  • fDate
    24-25 Sept. 2013
  • Firstpage
    329
  • Lastpage
    332
  • Abstract
    Wireless communication technology has shown that the application of multiple antennas at both transmitter and receiver sides improve the possibility of high data rates through multiplexing or improve the performance through diversity as compare to single antenna systems. In this article,the BER performance of Maximum Likelihood (ML) -Vertical Bells Lab Layered Space Time Architecture (V-BLAST)Spatial Multiplexing Technique using BPSK and QPSK has been investigated in Rayleigh flat fading channel.Furthermore, the comparison of different multiple antenna configurations with BPSK and QPSK have been considered in the given channel. It has been concluded that ML-VBLASTdecoding technique using BPSK modulation scheme gives better results than QPSK modulation technique in Rayleigh channel. More optimal results have been observed for 1×4 antenna configuration for ML-V-BLAST system in Rayleigh channel.
  • Keywords
    Rayleigh channels; antenna arrays; error statistics; maximum likelihood decoding; quadrature phase shift keying; receiving antennas; space division multiplexing; space-time codes; transmitting antennas; BER improvement; BPSK modulation scheme; ML-V-BLAST spatial multiplexing technique; ML-VBLAST decoding technique; QPSK modulation scheme; Rayleigh flat fading channel; maximum likelihood decoder; multiantenna configurations; multiple-antenna configurations; receiver side; transmitter side; vertical Bells lab layered space time architecture; wireless communication technology; Binary phase shift keying; Bit error rate; Decoding; Receiving antennas; Transmitting antennas; Bit Error Rate (BER); Maximum Likelihood (ML); Vertical Bell Laboratories Layered Space-Time (V-BLAST;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSim), 2013 Fifth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-2308-3
  • Type

    conf

  • DOI
    10.1109/CIMSim.2013.59
  • Filename
    6663205