• DocumentCode
    2575018
  • Title

    Estimability of quantized linear systems

  • Author

    Shen, Ying ; Zhang, Hui

  • Author_Institution
    Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2011
  • fDate
    9-11 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The estimability of quantized dynamic linear systems was discussed from information theoretic point of view. The presented definitions were reviewed and extended to more general systems. Criterions of estimability for systems with quantized outputs were proposed based on the measure of mutual information. These obtained condition of estimability consists with our intuition very well and provides us with intrinsic perspective for the quantizer design. Furthermore, the convergence property of the quantized estimability Gramian was analyzed. The mathematical analysis is verified by illustrative simulations.
  • Keywords
    estimation theory; linear systems; mathematical analysis; convergence property; information theory; mathematical analysis; quantized dynamic linear system; quantized estimability Gramian property; quantizer design; systems estimability; Convergence; Filtering algorithms; Linear systems; Quantization; State estimation; Stochastic systems; estimability; information theoretic method; quantized linear system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4577-1009-4
  • Electronic_ISBN
    978-1-4577-1008-7
  • Type

    conf

  • DOI
    10.1109/WCSP.2011.6096778
  • Filename
    6096778