• DocumentCode
    1781307
  • Title

    Polarimetric MIMO radar detection for correlated fluctuating targets

  • Author

    Bailu Wang ; Guolong Cui ; Wei Yi ; Suqi Li ; Lingjiang Kong

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Firstpage
    1229
  • Lastpage
    1232
  • Abstract
    We consider the the detection problem of the polarimetric MIMO radar in the presence of the arbitrary correlated, possibly non-identically distributed target backscattered echoes, which is often appeared in both the transmit-receive (T-R) pairs and the different polarimetric channels. We obtain a fully adaptive detector employing two-step design strategy. Specifically, we first derive the Generalized Likelihood Ratio Test (GLRT) by assuming the known polarimetric covariance matrices (PCMs). Then, we replace them with their maximum likelihood estimates (MLEs) computing by secondary data. Finally, we evaluate the performance of the adaptive GLRT, accounting for generalized chi distributions and correlations among the target amplitudes, via some numerical simulations.
  • Keywords
    MIMO radar; correlation methods; covariance matrices; maximum likelihood estimation; radar polarimetry; radar signal processing; signal detection; statistical distributions; statistical testing; MLE; P-MIMO radar; PCM; adaptive GLRT; adaptive detector; fluctuating target correlation; generalized chi distributions; generalized likelihood ratio test; maximum likelihood estimates; nonidentical distributed target backscattered echoes; numerical simulations; polarimetric MIMO radar detection problem; polarimetric channels; polarimetric covariance matrices; target amplitudes; two-step design strategy; Clutter; Correlation; Covariance matrices; Detectors; Radar polarimetry; Thyristors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875785
  • Filename
    6875785