• DocumentCode
    3385178
  • Title

    A combined method of weak signal detection

  • Author

    Huiying, Lv ; Zhiyu, Cao ; Xiaopeng, Yan ; Ping, Li

  • Author_Institution
    Sch. of Inf. Eng., Capital Normal Univ., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    28-29 Nov. 2009
  • Firstpage
    106
  • Lastpage
    109
  • Abstract
    In this paper, we present a new method based on the theory of chaotic oscillator and wavelet transform. Chaotic systems are sensitive to certain signals and immune to noise at the same time, the properties of which demonstrate their potential application in weak signal frequency detection. However, chaotic systems are not suitable for amplitude detection of non-sinusoidal signals. Starting from the analysis of advantages and disadvantages of two signal detection methods, we put forward a combined method that takes advantage of each method to detect not only the frequency of the unknown signal but also the amplitude of the unknown signal accurately. The experimental results show that combined method gives more accurate estimation than each method.
  • Keywords
    chaos; oscillators; signal detection; wavelet transforms; amplitude detection; chaotic oscillator; wavelet transform; weak signal frequency detection; Chaos; Chaotic communication; Computational intelligence; Noise reduction; Oscillators; Signal analysis; Signal detection; Signal to noise ratio; Time frequency analysis; Wavelet transforms; Chaotic oscillator; denoising; wavelet transform; weak signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4606-3
  • Type

    conf

  • DOI
    10.1109/PACIIA.2009.5406484
  • Filename
    5406484