• DocumentCode
    104637
  • Title

    A Joint Scheme for Angle and Array Gain-Phase Error Estimation in Bistatic MIMO Radar

  • Author

    Jianfeng Li ; Xiaofei Zhang ; Xin Gao

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    10
  • Issue
    6
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    1478
  • Lastpage
    1482
  • Abstract
    In this letter, we investigate the subject of joint angle and array gain-phase error estimation for bistatic multiple-input multiple-output radar, and propose a joint scheme for angle and array gain-phase error estimation based on trilinear decomposition. The estimations of transmit and receive direction matrices are primarily obtained via trilinear decomposition, after which the optimization problem for estimating array gain-phase errors and angles can be constructed. Array gain-phase error vectors are obtained by Lagrange multipliers, and the angles are estimated according to the estimated gain-phase errors. In contrast to the ESPRIT-like algorithm, the proposed method not only obtains automatically paired estimations of the angles but also has much better performance for angle and array gain-phase error estimation. Simulations verify the effectiveness of our approach.
  • Keywords
    MIMO radar; geophysical techniques; remote sensing by radar; ESPRIT-like algorithm; Lagrange multipliers; array gain-phase angle estimation; array gain-phase error vectors; automatically paired estimations; bistatic MIMO radar; bistatic multiple-input multiple-output radar; joint angle gain-phase error estimation; joint array gain-phase error estimation; joint scheme; optimization problem; receive direction matrix estimation; transmit direction matrix estimation; trilinear decomposition; Angle estimation; gain-phase error; multiple-input multiple-output (MIMO) radar; trilinear decomposition;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2260526
  • Filename
    6531658