• DocumentCode
    1487045
  • Title

    Signal Identification and Trace Extraction for the Vertical Ionogram

  • Author

    Fanfan Su ; Zhengyu Zhao ; Shipeng Li ; Ming Yao ; Gang Chen ; Yiyan Zhou

  • Author_Institution
    Key Lab. of Earthquake Geodesy, China Earthquake Adm., Wuhan, China
  • Volume
    9
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1031
  • Lastpage
    1035
  • Abstract
    Vertical ionograms suffer from artifacts and distortion due to other users of the high-frequency channel and the ionosphere. The traces of each layer have variable shapes, so the automatic scaling of the vertical ionograms is rather complicated. New algorithms for signal identification and trace extraction are developed to support automatic scaling. Different features of the signals, such as signal-to-noise ratio, Doppler shift, and virtual height, are converted to certainty factors and combined to identify signals. Kalman filtering, which is widely used in trace extracting, is introduced to form traces and separate the ordinary trace and the extraordinary trace. These algorithms are effective without using information on the wave polarization and can be applied to the ionograms recorded by single-antenna systems.
  • Keywords
    Kalman filters; geophysical signal processing; ionospheric techniques; Doppler shift; Kalman filtering; automatic scaling; high-frequency channel; ionosphere; signal identification; signal-to-noise ratio; single-antenna systems; trace extraction; vertical ionogram; virtual height; wave polarization; Doppler shift; Feature extraction; Ionosphere; Kalman filters; Real time systems; Signal to noise ratio; Automatic scaling; Kalman filtering; ionogram scaling; ionosphere;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2189350
  • Filename
    6179304