Browse > Article
http://dx.doi.org/10.11003/JPNT.2019.8.4.175

EGI Velocity Integration Algorithm for SAR Motion Measurement  

Lee, Soojeong (Department of Mechanical & Aerospace Engineering/Automation and Systems Research Institute, Seoul National University)
Park, Woo Jung (Department of Mechanical & Aerospace Engineering/Automation and Systems Research Institute, Seoul National University)
Park, Yong-gonjong (Department of Mechanical & Aerospace Engineering/Automation and Systems Research Institute, Seoul National University)
Park, Chan Gook (Department of Mechanical & Aerospace Engineering/Automation and Systems 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 Positioning, Navigation, and Timing / v.8, no.4, 2019 , pp. 175-181 More about this Journal
Abstract
This paper suggests a velocity integration algorithm for Synthetic Aperture Radar (SAR) motion measurement to reduce discontinuity of range error. When using position data from Embedded GPS/INS (EGI) to form SAR image, the discontinuity of the data degrades SAR image quality. In this paper, to reduce the discontinuity of EGI position data, EGI velocity integration is suggested which obtains navigation solution by integrating velocity data from EGI. Simulation shows that the method improves SAR image quality by reducing the discontinuity of range error. INS is a similar algorithm to EGI velocity integration in the way that it also obtains navigation solution by integrating velocity measured by IMU. Comparing INS and EGI velocity integration according to grades of IMU and GPS, EGI velocity integration is more suitable for the real system. Through this, EGI velocity integration is suggested, which improves SAR image quality more than existing algorithms.
Keywords
synthetic aperture radar; discontinuity error; velocity integration;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Carrara, W. G., Goodman, R. S., & Majewski, R. M. 1995, Spotlight synthetic aperture radar: Signal processing algorithms (Norwood, London: Artech House)
2 Cheney, M. & Borden, B. 2009, Fundamentals of radar imaging (Philadelphia, PA: Siam)
3 Fornaro, G., Franceschetti, G., & Perna, S. 2005, Motion compensation errors: effects on the accuracy of airborne SAR images, IEEE Transactions on Aerospace and Electronic Systems, 41, 1338-1352. https://doi.org/10.1109/TAES.2005.1561879   DOI
4 Kennedy, T. A. 1988, Strapdown inertial measurement units for motion compensation for synthetic aperture radars, IEEE Aerospace and Electronic Systems Magazine, 3, 32-35. https://doi.org/10.1109/62.9371   DOI
5 Kim, T. J. 2004, Motion measurement for high-accuracy real-time airborne SAR, Radar Sensor Technology VIII and Passive Millimeter-Wave Imaging Technology VII, Defense and Security, 2004, Orlando, Florida, United States, pp.36-45. https://doi.org/10.1117/12.542410
6 Mao, Y., Xiang, M., Wei, L., & Han, S. 2011, The effect of IMU inaccuracies on airborne SAR imaging, Journal of Electronics (China), 28, 409-418. https://doi.org/10.1007/s11767-012-0617-1   DOI
7 Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., et al. 2013, A tutorial on synthetic aperture radar, IEEE Geoscience and Remote Sensing Magazine, 1, 6-43. https://doi.org/10.1109/MGRS.2013.2248301
8 Oliver, C. & Quegan, S. 2004, Understanding synthetic aperture radar images (Raleigh, NC: SciTech Publishing, Inc.)
9 Seo, J., Lee, H. K., Lee, J. G., & Park, C. G. 2006, Lever arm compensation for GPS/INS/odometer integrated system, International Journal of Control, Automation, and Systems, 4, 247-254
10 Titterton, D. H. & Weston, J. L. 2004, Strapdown inertial navigation technology, 2nd ed. (Stevenage: IET)