• DocumentCode
    1927763
  • Title

    Subspace compressive GLRT detector for airborne MIMO Radar

  • Author

    Ahmed, Khawza ; Kothuri, Sreedevi ; Patwary, Mohammad ; Abdel-Maguid, Mohamed

  • Author_Institution
    Fac. of Comput., Eng. & Technol., Staffordshire Univ., Stafford, UK
  • fYear
    2010
  • fDate
    Oct. 31 2010-Nov. 3 2010
  • Firstpage
    302
  • Lastpage
    306
  • Abstract
    In this paper, the design of a subspace compressive GLRT (SSC-GLRT) detector has been pursued for MIMO airborne radar system when the secondary sets of data are available in addition to the primary one. It is observed that with very reduced amount of measurement data at sub-Nyquist rate that is equal to the number of virtual bi-static radar in the presence of a single target, SSC-GLRT provides the same performance as the conventional GLRT with much larger length of the data, i.e., an order of magnitude higher given by the product of the number of elements in the received antenna array and coherent pulse interval (CPI). Therefore, SSC-GLRT is much energy efficient and useful in the scenario where the computational complexity becomes a burden. Also, this paper illustrates an elegant way of mapping the angular and Doppler domain to an one dimensional discrete vector for the formulation of compressive sampling (CS) based ℓ1 reconstruction of the signal subspace when it is unknown so that it can successively be used in SSC-GLRT. The simulation example further corroborates the effectiveness of the proposed SSC-GLRT detector.
  • Keywords
    MIMO communication; airborne radar; antenna arrays; computational complexity; MIMO airborne radar system; antenna array; coherent pulse interval; compressive sampling; computational complexity; generalised likelihood radio test; sub-Nyquist rate; subspace compressive GLRT detector; virtual bi-static radar; Detectors; Doppler effect; MIMO; MIMO radar; Radar antennas; Radar imaging; Doppler and spatial frequency; Multiple Input Multiple Output (MIMO) radar; compressive sampling/sensing (CS); generalized-likelihood ratio test (GLRT); subspace compressive GLRT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (APCC), 2010 16th Asia-Pacific Conference on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4244-8128-6
  • Electronic_ISBN
    978-1-4244-8127-9
  • Type

    conf

  • DOI
    10.1109/APCC.2010.5679718
  • Filename
    5679718