• DocumentCode
    1935978
  • Title

    Adaptive Interference Excision in Digital Spread Spectrum Communication Systems Based on Wavelet Packet Transform

  • Author

    Jiang, Yu ; Gao, Hong-you ; Yu, Shao-peng

  • Author_Institution
    Harbin Eng. Univ., Harbin
  • Volume
    6
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3278
  • Lastpage
    3282
  • Abstract
    Input signals decomposition in digital spread spectrum communication systems(DSSS) is researched with discrete wavelet packet transform, the principle for wavelet packet transform suppressing narrow-band interference is analyzed, the former algorithm is optimized and the corresponding adaptive interference suppression technique is presented. The adaptive filtering technique is adopted to replace sub-band excision which tracks the narrow-band interference, avoiding the useful signal lost and suppressing the narrow-band interference effectively. The research results show that the adaptive wavelet packet transform based on tree structure algorithm has the merits in performance and fast interference allocation speed than the traditional sub-band excision.
  • Keywords
    adaptive filters; discrete wavelet transforms; interference suppression; spread spectrum communication; adaptive filtering; adaptive interference excision; adaptive interference suppression; digital spread spectrum communication system; discrete wavelet packet transform; narrow-band interference suppression; subband excision; tree structure algorithm; Algorithm design and analysis; Discrete wavelet transforms; Interference suppression; Narrowband; Signal analysis; Signal resolution; Spread spectrum communication; Wavelet analysis; Wavelet packets; Wavelet transforms; Adaptive filtering; Digital spread spectrum communication systems(DSSS); Discrete wavelet packet transform; Sub-band excision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370713
  • Filename
    4370713