A novel parametric SAR autofocus method

Jia Xu*, Yingning Peng, Liping Zhang, Yin Lin, Xianggen Xia

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

In synthetic aperture radar (SAR), low scene-contrast may invalidate most of existing autofocus methods, and the limited autofocus performance is also difficult to be verified. Based on a parametric statistical signal model in the coherent processing interval (CPI) of SAR, a novel SAR autofocus method is developed and it is especially applicable to extremely low-contrast scene. Furthermore, the limitation of CPI length and the Cramér-Rao low bound of autofocus parameter estimation are all analytically obtained. Finally, real measurement data is also exploited to validate the proposed model and the new method.

Original languageEnglish
Pages50-52
Number of pages3
Publication statusPublished - 2004
Externally publishedYes
EventProceedings of the IEEE Radar Conference - Philadelphia, PA, United States
Duration: 26 Apr 200429 Apr 2004

Conference

ConferenceProceedings of the IEEE Radar Conference
Country/TerritoryUnited States
CityPhiladelphia, PA
Period26/04/0429/04/04

Keywords

  • Coherent processing interval
  • Cramer-Rao bound
  • Low scene-contrast
  • Parametric autofocus
  • Synthetic aperture radar

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