An azimuth-dependent phase gradient autofocus (APGA) algorithm for airborne/stationary BiSAR imagery

Song Zhou, Mengdao Xing, Xiang Gen Xia, Yachao Li, Lei Zhang, Zheng Bao

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

In airborne/stationary bistatic-synthetic-aperture-radar imaging, translational invariance was no longer valid. After range cell migration correction, the range-compressed signal under the same range gate exhibited azimuth-dependent FM rates that made the motion-induced phase error difficult to separate from the echoes. To solve this problem, an azimuth-dependent phase gradient autofocus (PGA) algorithm was proposed. Different from the conventional PGA, the residual quadratic phase arising from the azimuth-dependent FM rates was additionally estimated and compensated. As the influence of the azimuth-dependent FM rates was greatly reduced, a phase gradient estimator was subsequently applied for accurate phase error retrieval. Acquired raw data were analyzed to verify the proposed algorithm.

Original languageEnglish
Article number6471182
Pages (from-to)1290-1294
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume10
Issue number6
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Airborne/stationary (A/S) configuration
  • azimuth-dependent phase gradient autofocus (PGA) (APGA) algorithm
  • bistatic synthetic aperture radar (SAR) (BiSAR)
  • residual quadratic phase (RQP)

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