• DocumentCode
    1852899
  • Title

    Application of velocity super-resolution algorithm to lost target velocity spectrum reconstruction

  • Author

    Xia Tian ; Shen Yiying ; Hou Yuguan ; Hou Chengyu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1741
  • Lastpage
    1745
  • Abstract
    In the case of low elevation angle incidence, the ground reflection path influences the target´s SNR and makes it fluctuate acutely, sometimes leading to the loss of the target traced by UHF radar. Combined with MUSIC algorithm, the conventional Toeplitz construction method is modified properly to realize the targets´ signal detection and high-resolution spectrum estimation in velocity-dimension. In order to reduce the impact of multi-path effect, the correlation analysis based on Fourier Transform is adopted. This method can be used to separate the signal eigen subspace and the noise one by the distance relationship of eigen frequency. It can improve detection of targets and velocity resolution in lower SNR case. Both simulation and the actual data testify the validity of this method.
  • Keywords
    Fourier transforms; correlation methods; object detection; radar detection; radar resolution; signal detection; signal reconstruction; Fourier transform-based correlation analysis; MUSIC algorithm; SNR; UHF radar; conventional Toeplitz construction method; data testification; ground reflection path; high-resolution spectrum estimation; lost target velocity spectrum reconstruction; low elevation angle incidence; multipath effect; signal eigen subspace; target detection; target signal detection; velocity resolution; velocity super-resolution algorithm; velocity-dimension; Toeplitz; UHF radar; correlation analysis; velocity spectrum estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491917
  • Filename
    6491917