• DocumentCode
    2566766
  • Title

    A Novel Structure of Signal Demodulation in High Frequency (HF) Channel

  • Author

    Ning, Chang ; Yu Hongyi

  • Author_Institution
    Dept of Commun. Eng., I.E. Univ., ZhengZhou, China
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    107
  • Lastpage
    111
  • Abstract
    In this paper, a novel demodulation structure in high-frequency (HF) channel is introduced and studied. Frequency-offset estimation, fractionally spaced adaptive equalization and carrier recovery techniques are involved. Frequency-offset correction is carried out based on channel impulse response estimation. Fractionally spaced adaptive equalization and carrier recovery are combined with non-linear decision feedback loop structure, and the initial value of tap coefficients of equalization are obtained from the previous channel estimation. Simulation is conducted under channel parameters with respect to MIL-STD-188-110B using a Monte Carlo technique. The results show this novel demodulation structure is feasible and efficient in HF channel, the symbol error ratio can reach to 10-3 in 12 dB SNR.
  • Keywords
    Monte Carlo methods; adaptive equalisers; channel estimation; demodulation; fading channels; multipath channels; transient response; HF channel; MIL-STD-188-110B; Monte Carlo technique; carrier recovery techniques; channel impulse response estimation; demodulation structure; fractionally spaced adaptive equalization; frequency-offset correction; frequency-offset estimation; high frequency channel; nonlinear decision feedback loop structure; signal demodulation; symbol error ratio; Adaptive equalizers; Channel estimation; Decision feedback equalizers; Demodulation; Fading; Frequency estimation; Hafnium; Intersymbol interference; Matched filters; Signal processing; HF channel; carrier recovery; channel estimation; fractionally spaced adaptive equalization; frequency-offset estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    2009 International Conference on Signal Processing Systems
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3654-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2009.19
  • Filename
    5166756