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http://dx.doi.org/10.5139/JKSAS.2019.47.8.566

Motion Sensing Algorithm for SAR Image Using Pre-Parametric Error Modeling  

Park, Woo Jung (Department of Mechanical and Aerospace Engineering/Automation and System Research Institute, Seoul National University)
Park, Yong-gonjong (Department of Mechanical and Aerospace Engineering/Automation and System Research Institute, Seoul National University)
Lee, Soojeong (Department of Mechanical and Aerospace Engineering/Automation and System Research Institute, Seoul National University)
Park, Chan Gook (Department of Mechanical and Aerospace Engineering/Automation and System Research Institute, Seoul National University)
Song, Jong-Hwa (Avionics Radar Team, Hanwha Systems)
Bae, Chang Sik (Avionics Radar Team, Hanwha Systems)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.47, no.8, 2019 , pp. 566-573 More about this Journal
Abstract
In order to obtain high-quality images by motion compensation in the airborne synthetic aperture radar (SAR), accurate motion sensing in image acquisition section is necessary. Especially, reducing relative position error and discontinuity in motion sensing is important. To overcome the problem, we propose a pre-parametric error modeling (P-PEM) algorithm which is a real-time motion sensing algorithm for the airborne SAR in this paper. P-PEM is an extended version of parametric error modeling (PEM) method which is a motion sensing algorithm to mitigate the errors in the previous work. PEM estimates polynomial coefficients of INS error which can be assumed as a polynomial in the short term. Otherwise, P-PEM estimates polynomial coefficients in advance and uses at image acquisition section. Simulation results show that the P-PEM reduces relative position error and discontinuity effectively in real-time.
Keywords
Synthetic Aperture Radar; Motion Sensing; Parametric Error Modeling;
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