• DocumentCode
    3580632
  • Title

    A 320 MHz Digital Linear Frequency Modulated Signal Generator for Radar Applications Using FPGA Technology

  • Author

    Samarah, Ashraf

  • Author_Institution
    Electr. Eng. Dept., Al Isra Univ., Amman, Jordan
  • fYear
    2014
  • Firstpage
    966
  • Lastpage
    972
  • Abstract
    This work proposes a realization for an improved system using a unique parallel processing technique and the approximation of the piecewise parabolic interpolation, to generate digital chirp signals with a bandwidth reaches up to 320 MHZ for the applications of radar and particularly Synthetic Aperture Radar (SAR). In this work, a hardware implementation for a smart parallel processing technique with 4 threads is completely derived and achieved, this implementation is done by field programmable gate array (FPGA) technology, and exploited to increase the bandwidth of the generated chirp signals using a hybrid system based on direct digital frequency synthesizer with low cost and minimal hardware overhead, in addition to having a smaller ROM size with respect to the other existing techniques in the literature. The utilized implementation uses X5-TX platform with FPGA Xilinx Virtex5 SX95T with 512 MB DDR2 DRAM and 4MB QDR-II memory.
  • Keywords
    DRAM chips; FM radar; direct digital synthesis; field programmable gate arrays; interpolation; parallel processing; read-only storage; synthetic aperture radar; DDR2 DRAM; FPGA Xilinx Virtex5 SX95T; QDR-II memory; ROM size; SAR; X5-TX platform; digital linear frequency modulated signal generator; direct digital frequency synthesizer; field programmable gate array; hybrid system; parallel processing technique; piecewise parabolic interpolation; synthetic aperture radar; Chirp; Clocks; Generators; Hardware; Instruction sets; Parallel processing; Radiation detectors; Field Programmable Gate Array (FPGA); Xilinx FPGA board; digital Linear Frequency Modulated signal; parallel processing technique;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.204
  • Filename
    7065624