• DocumentCode
    2605552
  • Title

    Information Theory-Based Amendments of SAR Jamming Effect Evaluation

  • Author

    Xin Li ; Jina Zhen

  • Author_Institution
    Shengda Coll. of Econ. & Trade Manage., Zhengzhou Univ., Zhengzhou, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    159
  • Lastpage
    162
  • Abstract
    Synthetic Aperture Radar (SAR) jamming effect is an important indicator to measure jamming pattern and jammer performance. The scientific and accurate evaluation of SAR jamming effect is an important basis for selecting effective jamming model and for improving the jamming system efficacy. In order to solve this, we deduce new expression of mutual information in terms of probability distribution diversity. We relate the information with entropy such as condition entropy and joint entropy, thus we develop a SAR jamming evaluation model of high effectiveness. Simulation experiments of this proposed model using Radarsat-1 real data for different scenarios demonstrate the success of the model effectiveness and applicability.
  • Keywords
    information theory; jamming; synthetic aperture radar; Radarsat-1 real data; SAR jamming effect evaluation; condition entropy; information theory-based amendments; jammer performance; jamming pattern; jamming system efficacy; joint entropy; mutual information; synthetic aperture radar jamming effect; Entropy; Imaging; Jamming; Mathematical model; Mutual information; Noise; Synthetic aperture radar; SAR jamming; effect evaluation; mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Computing for Science and Engineering (ICICSE), 2012 Sixth International Conference on
  • Conference_Location
    Henan
  • Print_ISBN
    978-1-4673-1683-5
  • Type

    conf

  • DOI
    10.1109/ICICSE.2012.43
  • Filename
    6239740