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EGI Velocity Integration Algorithm for SAR Motion Measurement

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초록

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.

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.

참고문헌 (10)

  1. Carrara, W. G., "Spotlight synthetic aperture radar: Signal processing algorithms" (1995), Artech House
  2. Cheney, M., "Fundamentals of radar imaging" (2009), Siam
  3. G. Fornaro, "Motion compensation errors: effects on the accuracy of airborne SAR images", IEEE Transactions on Aerospace and Electronic Systems, 41(4), pp.1338~1352 (2005), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  4. T.A. Kennedy, "Strapdown inertial measurement units for motion compensation for synthetic aperture radars", IEEE Aerospace and Electronic Systems Magazine, 3(10), pp.32~35 (1988), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  5. Kim, T. J., "Motion measurement for high-accuracy real-time airborne SAR", Radar Sensor Technology VIII and Passive Millimeter-Wave Imaging Technology VII, Defense and Security, pp.36~45 (2004)
  6. Yongfei Mao, "The effect of IMU inaccuracies on airborne SAR imaging", Journal of Electronics (China), 28(4-6), pp.409~418 (2011), Springer Science and Business Media LLC[DOI]
  7. Alberto Moreira, "A tutorial on synthetic aperture radar", IEEE Geoscience and Remote Sensing Magazine, 1(1), pp.6~43 (2013), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  8. Oliver, C., "Understanding synthetic aperture radar images" (2004), SciTech Publishing, Inc.
  9. Jaewon Seo, "Lever Arm Compensation for GPS", INS, International Journal of Control, Automation, and Systems, pp.2006, 4(2)[DOI]
  10. Titterton, D. H., "Strapdown inertial navigation technology" (2004), IET

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