• DocumentCode
    1311833
  • Title

    Range-Dependent Clutter Suppression for Airborne Sidelooking Radar using MIMO Technique

  • Author

    Wu, Jianxin ; Wang, Tong ; Zhang, Lifeng ; Bao, Zheng

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
  • Volume
    48
  • Issue
    4
  • fYear
    2012
  • fDate
    10/1/2012 12:00:00 AM
  • Firstpage
    3647
  • Lastpage
    3654
  • Abstract
    Range-dependent clutter suppression is an important issue in airborne bistatic radar moving target detection. Range-dependent clutter suppression using the multiple-input multiple-output (MIMO) technique is investigated. By employing the MIMO technique, the clutter ridges of all range bins are located in the same plane of the three-dimensional (3D) space. Moreover as long as the sum of the target radial velocities relative to the transmitter and the receiver is unequal to zero, the target will not be located in this plane. Thus clutter suppression can be realized by a 3D linear constrained minimum variance (LCMV) filter. In high clutter-to-noise (CNR) cases, the presented technique yields better performance than the conventional bistatic sidelooking phased-array radar. Numerical examples are given to demonstrate the effectiveness of the presented technique.
  • Keywords
    MIMO radar; airborne radar; filtering theory; interference suppression; phased array radar; radar clutter; radar signal processing; 3D linear constrained minimum variance filter; 3D space; LCMV filter; MIMO technique; airborne bistatic radar moving target detection; airborne side looking radar; bistatic sidelooking phased-array radar; clutter ridges; clutter-to-noise; multiple-input multiple-output technique; range-dependent clutter suppression; receiver; target radial velocity; three-dimensional space; transmitter; Clutter; Doppler effect; MIMO; MIMO radar; Radar clutter; Vectors;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2012.6324751
  • Filename
    6324751