• DocumentCode
    125905
  • Title

    Weighted soft decision of QPSK modulation in parallel combinatory spread spectrum system

  • Author

    Xiao-Fei Jiang ; Li-Li Guo ; Ming-Duo Liu ; Xiang-Pu Liu

  • Author_Institution
    54th Res. Inst., China Electron. Technol. Group Corp. (CETC), Shijiazhuang, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In parallel combinatory spread spectrum (PCSS) system, the soft decision of QPSK modulation will make the superposed Pseudo-Noise (PN) sequences lose its correlation, which leads to the failure of the demodulation. According to the characteristics of QPSK modulation, the superposed sequence is mapped to two sequences, and then a new weighed summation algorithm is proposed to keep the correlation properties of superposed sequences. Applying the algorithm in QPSK modulation in PCSS system, soft decision can be obtained in the receiver. This weighed soft decision resolves the problem that conventional soft decision QPSK modulation cannot apply in PCSS system. The system model is built and simulated in the paper. The simulation results show that the reliability of proposed soft decision QPSK modulation is better than that of hard decision QPSK modulation and this method is useful in engineering application.
  • Keywords
    correlation methods; demodulation; quadrature phase shift keying; radio receivers; sequences; spread spectrum communication; telecommunication network reliability; PCSS system; correlation property; demodulation; hard decision QPSK modulation; parallel combinatory spread spectrum system; reliability; superposed PN sequence; superposed pseudonoise sequence; weighed summation algorithm; weighted soft decision; Analytical models; Bit error rate; Correlation; Demodulation; Educational institutions; Phase shift keying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929270
  • Filename
    6929270