• DocumentCode
    691152
  • Title

    The Research of ACARS Signal Demodulation Method Based on Spectrum Estimation

  • Author

    Peng Zhang ; Pei He

  • Author_Institution
    Center of Eng. Training, Civil Aviation Univ. of China, Tianjin, China
  • fYear
    2013
  • fDate
    21-23 Sept. 2013
  • Firstpage
    1007
  • Lastpage
    1010
  • Abstract
    Schemes of demodulation for aircraft communications addressing and reporting system (ACARS) signal is presented in this paper. On the basis of in-depth study of the technology agreement about ACARS signal, the characteristic of ACARS signal is analyzed. A demodulation approach based on power spectrum estimation is described. According to the theoretical analysis, it can effectively restrain the white noise. At last the demodulation performance of this scheme is simulated with Monte Carlo method. Compared with the schemes of traditional non-coherent demodulation and differential demodulation, the spectrum estimation demodulation scheme has a lower BER, and its demodulation performance has been significantly improved, it has some practical application value.
  • Keywords
    Monte Carlo methods; aircraft communication; demodulation; error statistics; minimum shift keying; radio spectrum management; signal processing; white noise; ACARS signal demodulation method; BER; MSK; Monte Carlo method; aircraft communications addressing-and-reporting system; bit error rate; minimum shift keying; power spectrum estimation demodulation scheme; white noise; Aircraft; Bit error rate; Demodulation; Frequency modulation; Simulation; Spectral analysis; aircraft communications addressing and reporting system (ACARS); demodulation; minimum shift keying(MSK); power spectrum estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/IMCCC.2013.224
  • Filename
    6840614