A 2-D space-variant motion estimation and compensation method for ultrahigh-resolution airborne stepped-frequency SAR with long integration time
IEEE Transactions on Geoscience and Remote Sensing, 2017•ieeexplore.ieee.org
For the ultrahigh-resolution airborne stepped-frequency synthetic aperture radar, very large
synthetic bandwidth and very long integration time may lead to a 2-D space-variant (SV)
motion error when the aircraft flies off the ideally straight trajectory due to the atmospheric
turbulence. This new type of error complicates the motion estimation and motion
compensation (MOCO). For the motion estimation, we present a jointly 2-D SV motion error
estimation method to simultaneously consider the range-variant motion error and the …
synthetic bandwidth and very long integration time may lead to a 2-D space-variant (SV)
motion error when the aircraft flies off the ideally straight trajectory due to the atmospheric
turbulence. This new type of error complicates the motion estimation and motion
compensation (MOCO). For the motion estimation, we present a jointly 2-D SV motion error
estimation method to simultaneously consider the range-variant motion error and the …
For the ultrahigh-resolution airborne stepped-frequency synthetic aperture radar, very large synthetic bandwidth and very long integration time may lead to a 2-D space-variant (SV) motion error when the aircraft flies off the ideally straight trajectory due to the atmospheric turbulence. This new type of error complicates the motion estimation and motion compensation (MOCO). For the motion estimation, we present a jointly 2-D SV motion error estimation method to simultaneously consider the range-variant motion error and the azimuth-variant motion error. For the MOCO, we propose a 2-D SV-MOCO method. The method is implemented through three processing steps: 1) two-step MOCO for the space-invariant motion error and the range-variant phase error; 2) range block-based chirp-z transform (CZT) for the range-variant envelope error; and 3) range block division for the range-dependent azimuth-variant phase error based on the azimuth subaperture method. Finally, processing of simulated data and real data validates the proposed methods.
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