• DocumentCode
    2769803
  • Title

    Comparative Analysis of Various Optimization Techniques with Coded MIMO-OFDM Transmission

  • Author

    Singh, Shivendra ; Raghuvanshi, S.

  • Author_Institution
    Dept. of Electron. & Commun. Eng, Technocrats Inst. of Technol., Bhopal, India
  • fYear
    2011
  • fDate
    7-9 Oct. 2011
  • Firstpage
    267
  • Lastpage
    270
  • Abstract
    This paper deals with the comparison of various optimization techniques used for detection of spatially multiplexed transmitted symbols in multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) system. It may be helpful in evaluating the performance of the detection techniques viz zero forcing (ZF), minimum mean square error (MMSE) and maximum likelihood (ML) on the basis of the bit error rate (BER) for a given signal to noise ratio (SNR). A 2×2 MIMO system is used for the performance evaluation in simulation. The receiver decodes the binary phase shift keying (BPSK) signal through low density parity check (LDPC) decoder. A simulation result shows that ML is having a better performance over ZF and MMSE.
  • Keywords
    MIMO communication; OFDM modulation; error statistics; least mean squares methods; parity check codes; BER; BPSK signal; LDPC; MMSE; binary phase shift keying; bit error rate; coded MIMO-OFDM transmission; comparative analysis; low density parity check decoder; maximum likelihood; minimum mean square error; multiple input multiple output; optimization techniques; orthogonal frequency division multiplexing; zero forcing; Communication systems; Computational intelligence; Multiple input multiple output (MIMO); low density parity check (LDPC); maximum likelihood (ML); minimum mean square error (MMSE); orthogonal frequency division multiplexing (OFDM); zero forcing (ZF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
  • Conference_Location
    Gwalior
  • Print_ISBN
    978-1-4577-2033-8
  • Type

    conf

  • DOI
    10.1109/CICN.2011.54
  • Filename
    6112868