• DocumentCode
    1777080
  • Title

    Implementing radar algorithms on CUDA hardware

  • Author

    Monsurro, Pietro ; Trifiletti, Alessandro ; Lannutti, Francesco

  • Author_Institution
    Dipt. di Ing. dell´Inf., Elettron. e delle Telecomun. (DIET), Univ. di Roma “Sapienza” Roma, Rome, Italy
  • fYear
    2014
  • fDate
    19-21 June 2014
  • Firstpage
    455
  • Lastpage
    458
  • Abstract
    This paper investigates the implementation of radar algorithms on Graphics Processing Units (GPUs). The focus is on electronically scanned search radars. GPUs enable to develop high performance digital processing systems with limited development time. It is possible to employ a single commercial board (an NVIDIA GeForce 680 GTX in our case) to perform all the algorithms of a search radar: downconversion, amplitude/phase correction, pulse compression, beam forming, spectrum analysis, and CFAR noise floor estimation.
  • Keywords
    graphics processing units; parallel architectures; search radar; CUDA hardware; GPU; graphics processing units; high performance digital processing systems; search radar algorithm; Finite impulse response filters; Graphics processing units; Hardware; Kernel; Radar; Random access memory; Signal processing algorithms; CUDA; Graphics Processing Units; parallel computing; radars;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed Design of Integrated Circuits & Systems (MIXDES), 2014 Proceedings of the 21st International Conference
  • Conference_Location
    Lublin
  • Print_ISBN
    978-83-63578-03-9
  • Type

    conf

  • DOI
    10.1109/MIXDES.2014.6872240
  • Filename
    6872240