• DocumentCode
    2720819
  • Title

    BER Analysis of a GMSK System Using Decision Feedback

  • Author

    He, Xiandeng ; Pei, Changxing ; Zhu, Changhua ; Li, Jiandong

  • Author_Institution
    State Key Lab. of Integrated Services Networks, Xidian Univ., Xidian
  • Volume
    1
  • fYear
    2007
  • fDate
    21-23 May 2007
  • Firstpage
    113
  • Lastpage
    118
  • Abstract
    From the probability distribution of the phase angle between two vectors perturbed by Gaussian noises, the formulae of bit error rate(BER) for the performance analysis of Gaussian minimum shift keying (GMSK) system applying two-bit differential detection and decision feedback(DF) is derived in this paper. Considering the m-bits dock-tailed sequence, the new formulae of GMSK modulated phase and the time-varying signal to noise ratio (TVSNR) of demodulated signal are presented, and it is proved that the relationship between the TVSNR of demodulated signal and the size of eye opening is not inevitable. Simulation results show that the theoretical investigation gives analogous results with the Monte Carlo error counting(MCEC) technique. The formulae presented are useful for the performance analysis of systems using GMSK as modulating and demodulating method, for instance, the analysis of synchronous performance of Frequency-hopping communication system.
  • Keywords
    Gaussian noise; Monte Carlo methods; automatic repeat request; demodulation; error statistics; frequency hop communication; minimum shift keying; BER analysis; GMSK system; Gaussian minimum shift keying; Gaussian noises; Monte Carlo error counting technique; bit error rate; decision feedback; demodulated signal; frequency-hopping communication system; probability distribution; time-varying signal to noise ratio; Bit error rate; Feedback; Frequency; Gaussian noise; Monte Carlo methods; Performance analysis; Phase detection; Phase modulation; Probability distribution; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
  • Conference_Location
    Niagara Falls, Ont.
  • Print_ISBN
    978-0-7695-2847-2
  • Type

    conf

  • DOI
    10.1109/AINAW.2007.109
  • Filename
    4221045