• DocumentCode
    3625883
  • Title

    TEC Statistics and Correlogram Applications

  • Author

    Nisa Turel;Emre Aktas;Feza Arikan

  • Author_Institution
    Hacettepe ?niversitesi Elektrik ve Elektronik M?hendisli?i B?l?m?, Beytepe Ankara. nisaturel@hotmail.com
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Total electron content (TEC) is the total number of free electrons inside the cylinder with lm2 base area. TEC is an important parameter which is used at the ionospheric variability researches. Ionosphere shows variability according to the observing time period of TEC data (day to day, seasonal), the stations´ positions from where data are obtained (latitude, longitude) and the factors that caused the variability (solar activity, ionospheric storms, travelling ionospheric disturbances). Observing this variability by statistical methods gives us information about variability characteristics. In this study to examine the distribution of variability among the frequencies power spectral density is took up. To obtain power spectral density estimation, correlogram method is used. Correlogram method is a autocovariance and discrete Fourier transform based nonparametric classical spectral estimation method. The data set we used is the Ionolab-TEC values which is obtained by using the Global Positioning System (GPS) signals. The power spectral densities of the TEC values which are obtained between the time 1999-2006 from Olsztyn (20.6699?D, 53.8924?K), Poland and Hailsham (0.3362?D, 50.8673?K), England stations are observed by using correlogram method. The biggest power spectral density is observed at 1/day frequency. The frequency distribution of the power spectral density are also examined for different frequency units (1/day, 1/month).
  • Keywords
    "Statistics","Tellurium","Frequency","Electrons","Global Positioning System","Ionosphere","Storms","Statistical analysis","Discrete Fourier transforms"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • ISSN
    2165-0608
  • Print_ISBN
    1-4244-0719-2
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298639
  • Filename
    4298639