• DocumentCode
    1912115
  • Title

    Experimental Verification of a Two-State Model for the Cumulative Distribution Function of GSM Passive Radar Clutter

  • Author

    De Maio, A. ; Foglia, Goffredo ; Pasquino, Nicola ; Vadursi, Michele

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Univ. of Naples Federico II, Naples
  • fYear
    2008
  • fDate
    12-15 May 2008
  • Firstpage
    1288
  • Lastpage
    1293
  • Abstract
    Modeling clutter signal is a major task in characterizing radar performances. Clutter distributions pertaining classical radar systems have been widely investigated, but in the past few years passive radars have raised interest among researchers for some specific features that make them very appealing in modern applications, thus bringing about the need for researching appropriate models for the noise signal received under no-target conditions. The paper proposes a new two- state model for the statistical distribution of clutter signal in a passive radar based on the GSM cellular system. A dedicated measurement station has been set up to carry out experiments in a real environment. Results give evidence of the suitability of the proposed model.
  • Keywords
    cellular radio; passive radar; radar clutter; statistical distributions; GSM cellular system; GSM passive radar clutter; cumulative distribution function; statistical distribution; two-state model; Distribution functions; Frequency; GSM; Passive radar; Performance evaluation; Radar clutter; Radar detection; Radar tracking; Signal analysis; Working environment noise; GSM system; clutter measurement; empirical CDF fitting; passive radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference Proceedings, 2008. IMTC 2008. IEEE
  • Conference_Location
    Victoria, BC
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-1540-3
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2008.4547241
  • Filename
    4547241