• DocumentCode
    2997731
  • Title

    Modeling and Simulation Studies Performed for Weak Signal Detection Algorithms

  • Author

    Zheng, Zi-Wei ; Zhang, Fan

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    5337
  • Lastpage
    5340
  • Abstract
    Weak signal detection problems can usually be met in the fields of signal processing, signal transmission, networking and security (key enabling technologies supporting electrical and control engineering applications). Modeling and simulation are very important for the design and application of weak signal detection algorithms to support electrical and control engineering applications and extensive researches have been paid to such fields. Modeling and simulation for the algorithms of single-layer autocorrelation, multi-layer autocorrelation, and discrete wavelet transform are performed and researched for the application in weak signal detection in this paper. Simulation results show that algorithm of multi-layer autocorrelation has the best performance, algorithm of single-layer autocorrelation has better performance, algorithm of discrete wavelet transform has the worst performance.
  • Keywords
    discrete wavelet transforms; signal detection; signal processing; control engineering; discrete wavelet transform; electrical engineering; multi-layer autocorrelation; networking; security; signal processing; signal transmission; single-layer autocorrelation; weak signal detection algorithms; Control engineering; Correlation; Discrete wavelet transforms; Noise; Signal detection; Signal processing algorithms; autocorrelation; discrete wavelet transform; multi-layer autocorrelation; signal detection; weak signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.1295
  • Filename
    5630757