• DocumentCode
    3073902
  • Title

    Late-time resonance window estimation in radar

  • Author

    Hargrave, Chad ; Vaughan, I. ; Clarkson, L. ; Hoi-Shun Lui

  • Author_Institution
    Min. Technol. Res. Group, CSIRO, Brisbane, QLD, Australia
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Radar target identification based on resonant frequencies requires analysis of the “late-time” portion of the target signature: the period when early-time scattering has ceased, the resonant frequencies are well established, and the signal can still be distinguished from the noise. While target geometry can be used to determine the late-time commencement, for uncooperative radar target identification the determination must be made on the basis of the signal data alone. Intrinsic features of the Hankel matrix of the target impulse response, such as its rank and the distribution of its singular values, can be used to identify the late-time start prior to full matrix-pencil analysis of the optimal processing window. Results are presented from simulated target data.
  • Keywords
    matrix algebra; radar signal processing; target tracking; Hankel matrix; full matrix-pencil analysis; late time resonance window estimation; late time start; optimal processing window; target geometry; target impulse response; target signature; uncooperative radar target identification; Estimation; Geometry; Matrix decomposition; Noise; Radar; Resonant frequency; Scattering; Hankel; Kronecker; Radar target identification; late-time resonant response; matrix rank;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communication Systems (ICSPCS), 2013 7th International Conference on
  • Conference_Location
    Carrara, VIC
  • Type

    conf

  • DOI
    10.1109/ICSPCS.2013.6723933
  • Filename
    6723933