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Sensors 2018, 18(3), 842; https://doi.org/10.3390/s18030842

Raw Data-Based Motion Compensation for High-Resolution Sliding Spotlight Synthetic Aperture Radar

1
School of Computer and Information Engineering, Henan University, Kaifeng 475004, China
2
Space Microwave Remote Sensing System Department, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
3
College of Computer and Information Engineering, Hohai University, Nanjing 210098, China
*
Author to whom correspondence should be addressed.
Received: 20 January 2018 / Revised: 8 March 2018 / Accepted: 9 March 2018 / Published: 12 March 2018
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Abstract

For accurate motion compensation (MOCO) in airborne synthetic aperture radar (SAR) imaging, a high-precision inertial navigation system (INS) is required. However, an INS is not always precise enough or is sometimes not even included in airborne SAR systems. In this paper, a new, raw, data-based range-invariant motion compensation approach, which can effectively extract the displacements in the line-of-sight (LOS) direction, is proposed for high-resolution sliding spotlight SAR mode. In this approach, the sub-aperture radial accelerations of the airborne platform are estimated via a well-developed weighted total least square (WTLS) method considering the time-varying beam direction. The effectiveness of the proposed approach is validated by two airborne sliding spotlight C band SAR raw datasets containing different types of terrain, with a high spatial resolution of about 0.15 m in azimuth. View Full-Text
Keywords: motion compensation (MOCO); sliding spotlight; synthetic aperture radar (SAR); weighted total least square (WTLS) method; Doppler rate (DR) motion compensation (MOCO); sliding spotlight; synthetic aperture radar (SAR); weighted total least square (WTLS) method; Doppler rate (DR)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Li, N.; Niu, S.; Guo, Z.; Liu, Y.; Chen, J. Raw Data-Based Motion Compensation for High-Resolution Sliding Spotlight Synthetic Aperture Radar. Sensors 2018, 18, 842.

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