Phase-Envelope Joint Autofocus Algorithm for Backprojection Imaging
In high-resolution unmanned aerial vehicle (UAV) Synthetic Aperture Radar (SAR) imaging, despite the utilization of inertial navigation system (INS) data for pre-compensation, residual envelope and phase errors may still persist. Residual envelope errors can adversely affect phase error estimation (PEE), consequently degrading autofocus performance. This letter proposes a phase-envelope joint autofocus algorithm for backprojection (BP) imaging. An algorithm framework for alternating iterative estimation of phase and envelope is constructed based on maximizing image sharpness, which can effectively correct phase and envelope errors. In addition, only a small local area is selected for error estimation, significantly reducing memory and time consumption. The effectiveness of the algorithm is verified using X-band UAV SAR raw data.
Authors
- Guanyong Wang (ORCID: https://orcid.org/0000-0002-2435-2970)
- Zhichao Meng (ORCID: https://orcid.org/0000-0002-0295-6298)
- Jingyue Lu (ORCID: https://orcid.org/0009-0000-1793-115X)
- Lei Zhang (ORCID: https://orcid.org/0000-0003-1907-3640)
- Jianxin Wu (ORCID: https://orcid.org/0000-0001-6968-2861)
- Bo Wan (ORCID: https://orcid.org/0009-0002-9442-6282)
Institutions
- North China University of Technology (CN)
- Xidian University (CN)
- Sun Yat-sen University (CN)
- Beijing Shijingshan Hospital (CN)
Publication Details
- Journal
- IEEE Geoscience and Remote Sensing Letters
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/lgrs.2025.3580587
- Citations
- 1
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.14
Funders
- National Natural Science Foundation of China