• DocumentCode
    3415944
  • Title

    Feature extraction and frequency response recovery based on rational approximation

  • Author

    Yang Songyan ; Deng Weibo ; Wu Guangxin ; Wu Xiaochuan ; Ebregbe, D.

  • Author_Institution
    Harbin Inst. of Technol., Harbin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    1930
  • Lastpage
    1933
  • Abstract
    In order to obtain the target position invariant features and to recover target frequency response accurately, the orthogonal vector fitting (OVF) algorithm is introduced to solve the rational approximation of frequency response problems in target scattering system. By replacing the polynomial basis functions with orthogonal basis functions, the method overcomes the problem of pathological matrix equation. Besides, it also uses the iterative strategy to reduce the linearization error. According to the characteristics that the target conjugate poles of frequency response appears in pairs, the state space analysis method is used to achieve a fast solution to the denominator of the zero point and the concrete realization of the iteration process is given. Theoretical analysis and experimental results prove that, by introducing OVF to target frequency response approximation, the method can effectively solve the morbid normal equation and reduce the linearization error problems. Furthermore, it can also approximate target frequency response accurately and extract the target poles.
  • Keywords
    feature extraction; iterative methods; polynomial approximation; radar signal processing; radar target recognition; feature extraction; frequency response recovery; iteration process; iterative strategy; linearization error; morbid normal equation; orthogonal basis function; orthogonal vector fitting algorithm; pathological matrix equation; polynomial basis functions; rational approximation; target conjugate poles; target frequency response approximation; target position invariant feature; target scattering; zero point; Frequency domain analysis; Frequency response; Least squares approximation; Mathematical model; Polynomials; OVF; feature extraction; frequency responses; rational approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159953
  • Filename
    6159953