Abstract
A squinted observation geometry along with long integration time significantly aggravates the range walk and spatial variation of a medium-earth-orbit (MEO) synthetic aperture radar (SAR) signal. Variable pulse repeating frequency (PRF) is recommended to avoid the blockage in echo recording and save storage space. The existing wavenumber algorithms cannot handle the nonlinear and range-azimuth-coupled spatial variation (RACSP) over a large scene. In this paper, we propose a modified Stolt mapping method along with a modified joint time and Doppler resampling (JTDR) for highly squinted MEO SAR data processing. An azimuth timescale transformation is used to deal with the nonlinear spatial variation of the azimuth frequency-modulation (FM) rate. An extended Omega-K is used to linearize the range frequency and achieve range cell migration correction (RCMC). To address the RACSP, the Doppler is linearized in the range-Doppler domain using a range-dependent Doppler scale transformation. The computational complexity and geometry distortion correction (GDC) are also discussed. Simulation results are shown to verify the effectiveness of the developed focusing approaches.
Original language | English |
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Article number | 8793224 |
Pages (from-to) | 9188-9200 |
Number of pages | 13 |
Journal | IEEE Transactions on Geoscience and Remote Sensing |
Volume | 57 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2019 |
Externally published | Yes |
Keywords
- Highly squinted 2-D spatial variation
- Omega-K
- joint time and Doppler resampling (JTDR)
- medium-earth-orbit synthetic aperture radar (MEO SAR)