• DocumentCode
    2741707
  • Title

    Generalized DFT waveforms for MIMO radar

  • Author

    Yuewen Wang ; Akansu, Ali N. ; Haimovich, Alexander

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. Heights, Newark, NJ, USA
  • fYear
    2012
  • fDate
    17-20 June 2012
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    Recently, the Generalized Discrete Fourier Transform (GDFT) with nonlinear phase was introduced to improve the traditional Discrete Fourier Transform (DFT). We take advantage of the phase shaping function (PSF) of GDFT framework to optimize auto- and cross-correlation properties of OFDM frames used to generate radar waveforms. The superior performance of the GDFT MIMO radar waveforms over multifrequency complementary phase coded (MCPC) and Oppermann code families are presented in this paper. GDFT MIMO radar waveforms may be employed in the future as an efficient upgrade to the DFT based technologies.
  • Keywords
    MIMO radar; OFDM modulation; correlation methods; discrete Fourier transforms; phase coding; radar signal processing; DFT waveform; MIMO radar; OFDM frames; Oppermann code; autocorrelation properties; crosscorrelation properties; generalized discrete Fourier transform; multifrequency complementary phase code; nonlinear phase; phase shaping function; Correlation; Discrete Fourier transforms; MIMO radar; Measurement; Optimization; Radar antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
  • Conference_Location
    Hoboken, NJ
  • ISSN
    1551-2282
  • Print_ISBN
    978-1-4673-1070-3
  • Type

    conf

  • DOI
    10.1109/SAM.2012.6250495
  • Filename
    6250495