• DocumentCode
    3154075
  • Title

    Colocated MIMO radar transmit beamforming using orthogonal waveforms

  • Author

    Hua, Guang ; Abeysekera, Saman S.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    2453
  • Lastpage
    2456
  • Abstract
    Multiple-input-multiple-output (MIMO) radar transmit beamforming mainly relies on designing transmitted signals with an appropriate covariance matrix. The signals can be designed using a two-step method which first optimizes the covariance matrix and then searches for the signals accordingly. A more efficient way is to synthesize transmitted signals by designing a weight matrix given a set of orthogonal waveforms, which makes use of both MIMO waveform diversity and phased-array transmit gain. In this paper, we propose a method to design the transmit beampattern by solving a semidefinite programming (SDP) problem. Then the eigen-decomposition of the optimal covariance matrix yields the weight matrix. Therefore it is called the SDP-EIG method. As a result, the overall transmitted waveforms are obtained more simply and efficiently, and the number of orthogonal signals required to form a desired beam reaches its minimum.
  • Keywords
    MIMO radar; array signal processing; covariance matrices; mathematical programming; radar signal processing; MIMO waveform diversity; SDP-EIG method; colocated MIMO radar transmit beamforming; multiple-input-multiple-output radar transmit beamforming; optimal covariance matrix; orthogonal signals; orthogonal waveforms; phased-array transmit gain; semidefinite programming problem; two-step method; weight matrix; Array signal processing; Covariance matrix; MIMO; MIMO radar; Optimization; Radar antennas; MIMO Radar; transmit beamforming; transmit energy focusing; transmitted signal synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288412
  • Filename
    6288412