• DocumentCode
    3301476
  • Title

    Research and Realization of Software Radar Signal Processing Based on Intel MKL

  • Author

    Xu Wenli ; Cha Hao ; Zhou Mo

  • Author_Institution
    Navy Univ. of Eng., Wuhan, China
  • fYear
    2011
  • fDate
    19-21 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Base on Intel Math Kernel Library (MKL), the paper mainly focus on the research and realization of software radar signal processing, which includes magnitude, accumulation and Constant-False-Alarm-Rate(CFAR). Firstly, paper introduces simple signal processing flow of conventional search radar based on ship, then gives the detailed analysis on magnitude, accumulation and CFAR processing module´s computing complexity, then simulates computing time of magnitude, accumulation and CFAR processing module in using conventional algorithms and MKL algorithms, the result indicates that using MKL way to compute the echo samples is much quicker than using conventional way to compute. If the number of samples is no more than 2^19, the time to carry the processing of magnitude, accumulation and CFAR in using MKL is no more than 10 ms, which can be possible to meet the demand of radar project. At last, on the foundation of above conclusion, paper completes the software´s design and realization of the real-time magnitude, accumulation and CFAR processing with 500 echo samples.
  • Keywords
    digital signal processing chips; microprocessor chips; radar signal processing; telecommunication computing; Intel MKL; Intel Math kernel library; computing complexity; constant false alarm rate; conventional search radar; signal processing flow; software design; software radar signal processing; Complexity theory; Computational modeling; Process control; Radar; Radar signal processing; Real time systems; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Management (CAMAN), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9282-4
  • Type

    conf

  • DOI
    10.1109/CAMAN.2011.5778750
  • Filename
    5778750