• DocumentCode
    3546701
  • Title

    Polarization optimization in clutter background via target scattering estimation

  • Author

    Shiwen Lei ; Zhiqin Zhao ; Xun Zhou ; Zaiping Nie ; Qing-Huo Liu

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    161
  • Lastpage
    165
  • Abstract
    The problem of designing the states of polarization (SOPs) of the transmitter and receiver in clutter background via target scattering estimation is discussed. Under the assumption that the covariance of the clutter and noise is known a prior, the Cramer-Rao lower bound (CRLB) for the mean square error (MSE) of estimating the target is deduced. The problem of the minimizing MSE is converted to be a constrained optimization one. The paper solves this constrained optimization problem to optimally design the SOPs of the transmitter and the receiver. The performance of the proposed method is compared with conventional ones. Numerical results indicate that a significant amount of power gain is achieved in the target scattering estimation with the proposed method.
  • Keywords
    covariance analysis; electromagnetic wave polarisation; electromagnetic wave scattering; interference suppression; mean square error methods; minimisation; radar clutter; radar receivers; radar transmitters; CRLB; Cramer-Rao lower bound; MSE minimisation; SOP design; clutter background; constrained optimization problem; covariance analysis; mean square error method; noise; power gain; receiver; states of polarization; target scattering estimation; transmitter; Clutter; Estimation; Optimization; Receivers; Scattering; Sensors; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3050-0
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2013.6765309
  • Filename
    6765309