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An Azimuth-Dependent Phase Gradient Autofocus (APGA) Algorithm for Airborne/Stationary BiSAR Imagery

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6 Author(s)
Song Zhou ; Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi'an, China ; Mengdao Xing ; Xiang-Gen Xia ; Yachao Li
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In airborne/stationary bistatic-synthetic-aperture-radar imaging, translational invariance was no longer valid.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.

Published in:

Geoscience and Remote Sensing Letters, IEEE  (Volume:10 ,  Issue: 6 )

Date of Publication:

Nov. 2013

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