• DocumentCode
    1933177
  • Title

    New approach to 2d Medium PRF ambiguity resolution with application to air surveillance radar

  • Author

    Immediata, Sandro ; Petrucci, Roberto ; Timmoneri, Luca ; Vigilante, Domenico

  • Author_Institution
    SELEX-Sist. Integrati, Rome
  • fYear
    2008
  • fDate
    26-30 May 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper illustrates a new algorithm for noncoherent integration and ambiguity resolution in medium PRF wave-forms. Range and Doppler ambiguity resolution is one of the main issues in Medium PRF radars [1,2,3]; it will be shown that the proposed algorithm provides range and Doppler ambiguities resolution as an inherent feature while maximizing detection probability with respect to conventional binary integration. The algorithm is described and tested by means of a numerical examples, in which non ideal radar accuracies and target cell migration are considered and managed with a proper clustering technique. The resulting design of the algorithm shows high robustness to the aforementioned sources of error affecting radar measurements.
  • Keywords
    Doppler radar; probability; radar detection; radar resolution; search radar; Doppler ambiguity resolution; PRF wave-form; air surveillance radar; clustering technique; conventional binary integration; detection probability maximization; noncoherent integration; pulse repetition frequency radar; range ambiguity resolution; target cell migration; Algorithm design and analysis; Clustering algorithms; Computer vision; Doppler radar; Radar applications; Radar detection; Radar measurements; Robustness; Surveillance; Testing; ambiguity resolution; direct sum; non-coherent integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2008. RADAR '08. IEEE
  • Conference_Location
    Rome
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-1538-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2008.4720997
  • Filename
    4720997