• DocumentCode
    2921656
  • Title

    Signal attenuation time series prediction method based on the chaos algorithm

  • Author

    Shu-Lan Ma ; Bao-Ke Ma ; Miao Song

  • Author_Institution
    Ningxia Teachers Univ., Guyuan, China
  • fYear
    2012
  • fDate
    22-26 Oct. 2012
  • Firstpage
    802
  • Lastpage
    806
  • Abstract
    Signal distortion will appear and a series of attenuation time series will also be produced due to the interaction between the radio wave signal and the ionospheric irregularities when radio wave propagates through it. In this article, based on the traditional chaotic time series prediction and the characteristic of the attenuation time series of the ionosphere, the traditional method for prediction the chaotic time series is modified, analyzed, and a more suitable method is given. Final, by using the modified prediction method, a set of attenuate amplitude time series of radio wave signals which propagates through the ionosphere were predicted, and the prediction accuracy is also analyzed. The research shows that the modified prediction method is suitable to predict the short-term time series.
  • Keywords
    chaos; distortion; ionosphere; radiowave propagation; time series; chaos algorithm; chaotic time series prediction; ionosphere; ionospheric irregularity; radio wave propagation; radio wave signal; signal attenuation time series prediction method; signal distortion; Attenuation; Chaos; Educational institutions; Ionosphere; Prediction methods; Time series analysis; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas, Propagation & EM Theory (ISAPE), 2012 10th International Symposium on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4673-1799-3
  • Type

    conf

  • DOI
    10.1109/ISAPE.2012.6408893
  • Filename
    6408893