• DocumentCode
    2607090
  • Title

    Adapting a MIMO/phased-array radar transmit beampattern to target location

  • Author

    Fuhrmann, Daniel R. ; Browning, J. Paul ; Rangaswamy, Muralidhar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    354
  • Lastpage
    359
  • Abstract
    Proposed MIMO and hybrid MIMO/phased array (HMPAR) radar systems have the potential for tremendous flexibility in the choice of the transmit beampattern, through the selection of multiple transmitted signals. This paper considers how one might exploit that flexibility in light of prior information or uncertainty in target spatial location, for parameter estimation or tracking applications. We first consider an idealized problem of distributing energy across multiple target sites given a prior probability distribution on those sites. It shown that the optimal allocation of energy would be proportional to the square root of the prior probability. Second, we propose a method to approximate this optimal distribution of energy using a MIMO radar or HMPAR radar system. The method chooses signals that realize an intrapulse beamscan over the region of interest, with a nonuniform distribution of scan points matched to the desired distribution of energy.
  • Keywords
    MIMO radar; array signal processing; parameter estimation; phased array radar; radar signal processing; radar tracking; statistical distributions; HMPAR radar system; MIMO-phased-array radar; beampattern transmission; hybrid radar system; multiple target site; multiple transmitted signal; multiple-input multiple-output radar; parameter estimation; probability distribution; target location; target spatial location; Arrays; Lighting; MIMO; MIMO radar; Probability distribution; Radar signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Information Processing (CIP), 2010 2nd International Workshop on
  • Conference_Location
    Elba
  • Print_ISBN
    978-1-4244-6457-9
  • Type

    conf

  • DOI
    10.1109/CIP.2010.5604212
  • Filename
    5604212