Time-Domain Azimuth-Variant MOCO Algorithm for Airborne SAR Imaging
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS(2022)
摘要
Current subaperture-based azimuth-variant motion compensation (MOCO) algorithms for synthetic aperture radar (SAR) imagery usually suffer from the challenge of keeping high precision and efficiency simultaneously. In this letter, a novel MOCO approach is developed to precisely correct the azimuth-variant motion errors. The proposed algorithm applies a time-domain filter to implement the precise subaperture-to-pulse correction, providing a promising azimuth-variant phase correction. Extensive experiments demonstrate the superiorities of the proposal with real-measured high-squint SAR data.
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关键词
Doppler effect,Synthetic aperture radar,Time-domain analysis,Azimuth,Signal processing algorithms,Radar polarimetry,Geometry,Azimuth-variant,motion compensation (MOCO),subaperture-to-pulse,synthetic aperture radar (SAR)
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