• DocumentCode
    3755747
  • Title

    Three dimensional compressive sensing in MIMO radar

  • Author

    Yaqi Liu;Yongquan Zhang;Jun Tang;Ning Zhang;Wei Zhu

  • Author_Institution
    Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China
  • fYear
    2015
  • Firstpage
    599
  • Lastpage
    603
  • Abstract
    A compressive sensing based bistatic MIMO radar is proposed for joint direction of departure (DOD), direction of arrival (DOA) and Doppler frequency estimation, where random arrays are employed and the intervals between adjacent pulses are chosen randomly. A discretization mechanism for DOD- DOA-Doppler space is established. Under such a sparse framework, the least amount of random measurements required for faithful target parameter recovery is derived. The theoretical derivation indicates that a dramatic reduction in the number of measurements is attainable without degrading the estimation performance. Numerical results demonstrate the effectiveness of the framework as well as the recovery guarantees.
  • Keywords
    "MIMO radar","Estimation","Apertures","Direction-of-arrival estimation","Transmitters","Receivers","Doppler effect"
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2015 49th Asilomar Conference on
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2015.7421200
  • Filename
    7421200