• DocumentCode
    1907312
  • Title

    Implementation of algorithms for ballistic object model parametric identification based on radar measurements

  • Author

    Grudowski, Kamil ; Dorau, Tomasz ; Sankowski, Miroslaw

  • Author_Institution
    PIT-RADWAR S.A., Gdańsk, Poland
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    1100
  • Lastpage
    1105
  • Abstract
    The subject of this work is implementation of algorithms for classification and parametric identification of ballistic models based on radar measurements. This can involve different theoretical approaches and technical solutions. The choice of methods is discussed including mathematical models based on differential equations, numerical integration methods and non-linear optimisation techniques. In addition multi-thread programming techniques are applied in order to adapt implementation to modern multi-core processor architectures. Possibility of using specialised open-source libraries is also analysed with regard to technical aspects and taking into account the specificities of a commercial project and licensing conditions.
  • Keywords
    ballistics; differential equations; integration; military computing; military radar; multi-threading; multiprocessing systems; nonlinear programming; parameter estimation; pattern classification; public domain software; weapons; ballistic model classification; ballistic object model parametric identification; differential equations; mathematical models; multicore processor architectures; multithread programming techniques; nonlinear optimisation techniques; numerical integration methods; open-source libraries; radar measurements; Algorithm design and analysis; Drag; Force; Mathematical model; Maximum likelihood estimation; Radar measurements; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Symposium (IRS), 2015 16th International
  • Conference_Location
    Dresden
  • Type

    conf

  • DOI
    10.1109/IRS.2015.7226364
  • Filename
    7226364