• DocumentCode
    1889412
  • Title

    A method for the detection of long pseudo-random code DSSS signals based on the processing of delay-multiply (I) - the estimation of the pseudo-random code period and the chip width

  • Author

    Dong, Zhanqi ; Li, Mingxia

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Nanyang Inst. of Technol., Nanyang
  • fYear
    2008
  • fDate
    10-12 Nov. 2008
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    Aiming at the problems of the detection of long pseudo-random code DSSS (direct sequence spread spectral) Signals and the estimation of the pseudo-random code period and the chip width, the paper proposes a method based on the processing of delay-multiply with the signals. The method does processing of delay-multiply on the received signals at first, then calculates the autocorrelation and gets correlation peaks, which can reflect the characteristics of the long pseudo-random code DSSS signals, in the autocorrelation domain; In the detection of the long pseudo-random code DSSS signals we can realize the detection and achieve the estimation of the pseudo-random code period and the chip width by checking the correlation peaks. The computer simulations show that the proposed method has good performance.
  • Keywords
    correlation methods; random codes; random sequences; spread spectrum communication; autocorrelation; chip width; delay-multiply estimation; direct sequence spread spectral signals; pseudo-random code DSSS signals; pseudo-random code period; Autocorrelation; Baseband; Civil engineering; Computer science; Computer simulation; Delay estimation; Paper technology; Signal processing; Signal to noise ratio; Spread spectrum communication; chip width; delay-multiply; detection; long pseudo-random code DSSS signals; pseudo-random code period;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2250-0
  • Electronic_ISBN
    978-1-4244-2251-7
  • Type

    conf

  • DOI
    10.1109/ICCT.2008.4716199
  • Filename
    4716199