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A Study on ISAR Imaging Algorithm for Radar Target Recognition

표적 구분을 위한 ISAR 영상 기법에 대한 연구

  • Park, Jong-Il (Department of Electronic Engineering, Yeungnam University) ;
  • Kim, Kyung-Tae (Department of Electronic Engineering, Yeungnam University)
  • 박종일 (영남대학교 전자공학과) ;
  • 김경태 (영남대학교 전자공학과)
  • Published : 2008.03.31

Abstract

ISAR(Inverse Synthetic Aperture Radar) images represent the 2-D(two-dimensional) spatial distribution of RCS (Radar Cross Section) of an object, and they can be applied to the problem of target identification. A traditional approach to ISAR imaging is to use a 2-D IFFT(Inverse Fast Fourier Transform). However, the 2-D IFFT results in low resolution ISAR images especially when the measured frequency bandwidth and angular region are limited. In order to improve the resolution capability of the Fourier transform, various high-resolution spectral estimation approaches have been applied to obtain ISAR images, such as AR(Auto Regressive), MUSIC(Multiple Signal Classification) or Modified MUSIC algorithms. In this study, these high-resolution spectral estimators as well as 2-D IFFT approach are combined with a recently developed ISAR image classification algorithm, and their performances are carefully analyzed and compared in the framework of radar target recognition.

Keywords

ISAR;IFFT;AR;MUSIC;Modified MUSIC

References

  1. K. -T. Kim, D. -K. Seo, and H. -T. Kim, 'Efficient Classification of ISAR images', IEEE Transactions on Antennas and Propagation, vol. 53, pp. 1611- 1621, May 2005 https://doi.org/10.1109/TAP.2005.846780
  2. K. -T. Kim, S. -W. Kim, and H. -T. Kim, 'Two-dimensional ISAR imaging using full polarization and super-resolution processing techniques', IEE Proceedings Radar, Sonar, and Navigation, vol. 145, pp. 240-246, Aug. 1998
  3. 김경태, 박종일, 신영남, '극사상법을 이용한 효율적인 ISAR 영상 구분', 한국전자파학회논문지, 16(3), pp. 335-343, 2005년 5월
  4. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd Ed., John Wiley & Sons, Inc., 2001
  5. S. Theodoridis, K. Koutroumbas, Pattern Recognition, Academic Press, 1999
  6. Yingbo Hua, 'Estimating two-dimensional frequencies by matrix enhancement and matrix pencil', IEEE Transactions on Signal Processing, vol. 40, pp. 2267-2280, Sep. 1992 https://doi.org/10.1109/78.157226
  7. J. W. Odendaal, E. Barnard, and C. W. I Pistorius, 'Two-dimensional superresolution radar imaging using the MUSIC algorithm', IEEE Transactions on Antennas and Propagation, vol. 42, pp. 1386- 1391, Oct. 1994 https://doi.org/10.1109/8.320744
  8. Dean L. Mensa, High Resolution Radar Cross-Section Imaging, Norwood, MA: Artech House, 1991
  9. Petre Stoica, Randolph L. Moses, Introduction to Spectral Analysis, Prentice-Hall, 1997
  10. A. Zyweck, R. E. Bogner, 'High-resolution radar imagery of the mirage III aircraft', IEEE Transactions on Antennas and Propagation, vol. 42, pp. 1356-1360, Sep. 1994 https://doi.org/10.1109/8.318658
  11. S. Musman, D. Kerr, and C. Bachmann, 'Automatic recognition of ISAR ship images', IEEE Transactions on Aerospace and Electronic Systems, vol. 32, pp. 1392-1404, Oct. 1996 https://doi.org/10.1109/7.543860
  12. K. -T. Kim, D. -K. Seo, and H. -T. Kim, 'Efficient radar target recognition using the MUSIC algorithm and invariant features', IEEE Transactions on Antennas and Propagation, vol. 50, pp. 325-337, Mar. 2002 https://doi.org/10.1109/8.999623