• DocumentCode
    3359915
  • Title

    An anti-interference method for spread spectrum system based on Amplitude Domain Processing

  • Author

    Shen, Feng ; Wang, Jiahuan ; Wang, Jinggang

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    3589
  • Lastpage
    3594
  • Abstract
    The main objective of this paper is to describe and simulate the application of an interference cancelling technique named Amplitude Domain Processing (ADP) in navigation. ADP is the simplified algorithm of locally optimum detection theory. According to statistical theory, ADP is a non-linear and digital technology and it can eliminate interferences according to the statistical characteristics of the non-Gaussian interferences. ADP technique could be used in Squared-Sum Detector to obtain a code acquisition method that has been processed in amplitude. Simulation results show that the anti-interference technology can eliminate the narrow band interference effectively and improve the SNR (Signal to Noise Ratio) of spread spectrum system and the detection probability of the signals.
  • Keywords
    interference (signal); spread spectrum communication; amplitude domain processing; anti-interference method; code acquisition method; detection probability; interference cancelling; signal to noise ratio; spread spectrum system; Atmospheric modeling; Automation; Gaussian distribution; Gaussian noise; Interference elimination; Navigation; Signal processing; Signal to noise ratio; Spread spectrum communication; Steady-state; ADP; anti-interference; code acquisition; detection probability; spread-spectrum system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246052
  • Filename
    5246052