• DocumentCode
    1610223
  • Title

    Unimodular sequence sets with good correlations for MIMO radar

  • Author

    He, Hao ; Stoica, Petre ; Li, Jian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A multi-input multi-output (MIMO) radar system that transmits orthogonal waveforms via its antennas can achieve a greatly increased virtual aperture compared with its phased-array counterpart. Practical radar requirements such as unit peak-to-average power ratio and range compression dictate that we use MIMO radar waveforms that have constant modulus and good auto- and cross-correlation properties. We present in this paper new computationally efficient cyclic algorithms for MIMO radar waveform synthesis. These algorithms can be used for the design of unimodular MIMO sequences that have very low auto-and cross-correlation sidelobes in a specified lag interval, and of very long sequences that could hardly be handled by other algorithms previously suggested in the literature. A number of examples are provided to demonstrate the performances of the new waveform synthesis algorithms.
  • Keywords
    MIMO communication; antenna arrays; radar antennas; MIMO radar waveform synthesis algorithm; cross-correlation sidelobes; multiinput multioutput radar system; orthogonal waveforms; peak-to-average power ratio; phased-array antenna; unimodular sequence sets; very low auto correlation sidelobes; Algorithm design and analysis; Aperture antennas; Councils; Covariance matrix; Design optimization; Helium; Information technology; MIMO; Radar antennas; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2009 IEEE
  • Conference_Location
    Pasadena, CA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-2870-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2009.4977095
  • Filename
    4977095