• DocumentCode
    2600188
  • Title

    An improved model of HF-SAR for estimating surface current velocity

  • Author

    Peng, Huibin ; Xue, Wenhu ; Zhu, Sanwen ; Yu, Guishui

  • Author_Institution
    Mil. Deputy Bur. of Shanghai Region, Shanghai
  • fYear
    2007
  • fDate
    5-9 Nov. 2007
  • Firstpage
    760
  • Lastpage
    765
  • Abstract
    With the requirement of surface current extraction by a single station of high frequency surface wave radar, high frequency SAR (HF-SAR) is proposed and proved to be theoretically feasible. However the old model of HF-SAR is not perfect enough and there are several drawbacks such as Bragg scattering not included, high computation burden and implementation difficulty. Thus in this paper we present an improved model of HF-SAR to overcome the previous drawbacks. For the improved model, Bragg frequency is introduced into the echo signal and an iterative approach to estimate parameters of chirp signals is adopted for velocity estimation algorithms. Also an implementation scheme of HF-SAR on the sea is proposed. Simulation results with the improved model show that the precision of surface current velocity estimation is high enough to meet practical requirements.
  • Keywords
    ocean waves; oceanographic techniques; remote sensing by radar; synthetic aperture radar; Bragg frequency; HF-SAR; chirp signals; echo signal; high frequency SAR; high frequency surface wave radar; surface current velocity estimation; Chirp; Frequency estimation; Iterative algorithms; Iterative methods; Parameter estimation; Radar scattering; Radar theory; Sea surface; Surface waves; Synthetic aperture radar; HF Surface Wave; SAR; surface current; velocity estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-1188-7
  • Electronic_ISBN
    978-1-4244-1188-7
  • Type

    conf

  • DOI
    10.1109/APSAR.2007.4418722
  • Filename
    4418722