• DocumentCode
    3274740
  • Title

    Toward of a GPU acclerated software navagation radar

  • Author

    Qian Zhang ; Yangdong Deng

  • Author_Institution
    Inst. of Microelectron., Tsinghua Univ., Beijing, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    154
  • Lastpage
    157
  • Abstract
    Software radars are attracting an increasing interest in recent years due to their advantages in cost efficiency, flexibility, and ease of updating. However, the processing and rendering of radar signal have to be done in a real-time fashion. Such a requirement pose challenge to software radar design because radar signal processing can be extremely time-consuming on large computation load such as the persistence effect and targets detection. This paper proposes a software solution by using graphics processing units (GPUs) to accelerate the radar signal processing and rendering process. A key feature of our solution is to take advantage of both the graphics and the general purpose computing capabilities of GPUs. When implemented on the NVIDIA GTS 250 GPU, our software radar outperforms its CPU equivalent by a factor of over 100. Our work demonstrates that GPU based software radars have strong potential in future applications.
  • Keywords
    navigation; radar signal processing; rendering (computer graphics); GPU acclerated software navigation radar; GPU based software radars; NVIDIA GTS 250 GPU; graphics processing units; radar signal processing; rendering process; software radar design; software solution; targets detection; Graphics; Graphics processing units; Navigation; Radar; CFAR; CUDA; GPU; radar signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615277
  • Filename
    6615277