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High resolution imaging algorithm for moving ship based on compressed sensing

  • Harbin Institute of Technology

Research output: Contribution to conferencePaperpeer-review

Abstract

The imaging problem which has long synthetic aperture imaging time for ship targets is studied based on the high resolution airborne synthetic aperture radar. Using the characteristic that the different scattering points on the moving ship has different Doppler course, the Keystone and FrFT algorithm are performed to compensate range migration. In order to obtain high resolution, both the range and azimuth of moving ship targets are converted into sparse representation under certain signal basis, and the compressed sensing algorithm is used for highresolution range and azimuth. At last, the simulations are performed to verify the reliability and stability of the algorithm.

Original languageEnglish
StatePublished - 2015
EventIET International Radar Conference 2015 - Hangzhou, China
Duration: 14 Oct 201516 Oct 2015

Conference

ConferenceIET International Radar Conference 2015
Country/TerritoryChina
CityHangzhou
Period14/10/1516/10/15

Keywords

  • Compressed sensing(CS)
  • FrFT
  • Multiple ships moving target
  • Sparse reconstruction
  • Synthetic aperture radar (SAR)

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