• DocumentCode
    3044249
  • Title

    The iterative demodulation and decoding algorithm for convolutional coded GMSK signals over mobile satellite channel

  • Author

    Wu, Tuanfeng ; Xu, Youyun ; Gui, Lin ; Ma, Wenfeng

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new simple iterative demodulation and decoding algorithm for convolutional coded GMSK signals, which is suitable for mobile satellite channel is presented. Demodulation is simplified through the approximation of GMSK as pulse amplitude modulated (PAM) signal, leading to a representation as the inner convolutional code of a serially concatenated convolutional code (SCCC). In addition, based on quasi-coherent demodulation of GMSK signals, an iterative channel estimation method, which can improve bit error rate (BER) performance of proposed coded GMSK signal transmission scheme dramatically, was expressed. Numerous simulation results show that the proposed algorithm can largely reduce the implementation complexity and have significant performance.
  • Keywords
    channel estimation; concatenated codes; convolutional codes; demodulation; error statistics; iterative decoding; minimum shift keying; mobile satellite communication; pulse amplitude modulation; GMSK signals; bit error rate; concatenated convolutional code; iterative channel estimation; iterative decoding; iterative demodulation; mobile satellite channel; pulse amplitude modulation; quasi-coherent demodulation; Bit error rate; Channel estimation; Convolutional codes; Demodulation; Iterative decoding; Receivers; GMSK; SCCC; iterative channel estimation; iterative demodulation and decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-1-4244-7556-8
  • Electronic_ISBN
    978-1-4244-7554-4
  • Type

    conf

  • DOI
    10.1109/WCSP.2010.5633247
  • Filename
    5633247