• DocumentCode
    1611117
  • Title

    Sidelobe mitigation in MIMO radar with multiple subcarriers

  • Author

    Haleem, M.A. ; Haimovich, A. ; Blum, R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents the studies on the reduction of peak sidelobe level in distributed MIMO radar with multiple subcarrier signals. Multiple subcarriers with sufficient frequency spacing become an alternative to increasing the number of sensors for sidelobe reduction. It is shown that the multiple subcarrier signals are most effective in reducing sidelobes at locations far from the target. Two signaling methods, namely continuous carrier transmission and Gaussian-OFDM signals are studied with respect to the sidelobe mitigation properties. The paper also presents an upper bound to the peak sidelobe level considering the non-coherent combining. It is shown that with non-coherent combining, the peak sidelobe of the localization metric scales down as 1/MNLsin(3pi/2L) where L is the number of subcarriers, and M, N are the number of transmit and receive sensors. While there are grating lobes present in the metric with non-coherent combining, there is a grating lobe free region around the mainlobe, lower bounded by rho = plusmnLrho0/2B . With coherent processing, multiple subcarriers are effective in reducing the sidelobes as well as grating lobes.
  • Keywords
    Gaussian processes; MIMO communication; OFDM modulation; radar signal processing; Gaussian-OFDM signal method; MIMO radar; continuous carrier transmission method; multiple subcarrier signal; receive sensor; sidelobe mitigation property; transmit sensor; Gaussian processes; Gratings; MIMO; OFDM; Phased arrays; Radar antennas; Radar polarimetry; Sensor phenomena and characterization; Spatial resolution; Upper bound;
  • 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.2009.4977126
  • Filename
    4977126