• DocumentCode
    3544855
  • Title

    Narrowband interference suppression in DSSS system based on frequency shift wavelet packet transform

  • Author

    Zhang, Lanying ; Yuan, Sijie ; Chen, Yuan ; Yang, Jun

  • Author_Institution
    TT&C Res. Center, Acad. of Equip. Command & Technol., Beijing, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    A narrowband interference suppression algorithm which combined wavelet packet transform with frequency shift is proposed. It first confined the interference in the center of a subband. Then, the signal is decomposed by wavelet packet transform, and interference is suppressed under subband power ratio rule. Finally, the signal is de-noised by soft-thresholding before signal reconstructed. Both analysis and simulation demonstrate that the interference is completely suppressed by frequency shift wavelet packet transform, the signal-to-noise ratio is improved by soft threshold signal de-noising, the single dwell time of acquisition is reduced and the acquisition performance is improved.
  • Keywords
    interference suppression; signal denoising; signal reconstruction; spread spectrum communication; wavelet transforms; DSSS system; direct sequence spread spectrum system; frequency shift wavelet packet transform; narrowband interference suppression; signal decomposition; signal denoising; signal reconstruction; Analytical models; Frequency; Interference suppression; Narrowband; Performance analysis; Signal analysis; Spread spectrum communication; Wavelet analysis; Wavelet packets; Wavelet transforms; direct sequence spread spectrum; narrowband interference; signal de-noising; wavelet packet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274559
  • Filename
    5274559