Highly squinted SAR imaging simulation of ship-ocean scene based on EM scattering mechanism

Highly squinted SAR imaging simulation of ship-ocean scene based on EM scattering mechanism

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To investigate highly squinted spotlight synthetic aperture radar (SAR) images of an electrically large ship target over a rough sea surface, this work focuses on the simulation analysis of SAR images from such a composite scene. For this problem, there are two key issues need to be considered, namely the simulation and the processing of SAR echoes. Considering the first issue, an efficient facet scattering model based on capillary wave modification facet scattering model and geometrical optics and physical optics hybrid method is applied to calculate the electromagnetic (EM) scattering characteristics from a real ship-ocean scene, based on which SAR echoes can be obtained. For the second issue, a non-linear frequency scaling algorithm (NFSA) is employed to efficiently process the highly squinted SAR echoes. Compared with the traditional frequency scaling algorithm, the NFSA extends the frequency scaling operation to the cubic order and makes a more accurate secondary range compression. With the solutions to the two issues, SAR images of a complicated ship-ocean scene under different incident and squint angles are presented and analysed. The reasonable results demonstrate the validity of the simulation approach and the practicability of the model for highly squinted spotlight SAR images.


    1. 1)
      • 1. Mallorqui, J.J., Rius, J.M., Bara, M.: ‘Simulation of polarimetric SAR vessel signatures for satellite fisheries monitoring’. Proc. IGARSS, Toronto, Canada, 2 June 2002, pp. 27112713.
    2. 2)
      • 2. An, D.X., Huang, X.T., Jin, T., et al: ‘Extended nonlinear chirp scaling algorithm for high-resolution highly squint SAR data focusing’, IEEE Trans. Geosci. Remote Sens., 2012, 50, (9), pp. 35953609.
    3. 3)
      • 3. Sun, G.C., Jiang, X.W., Xing, M.D., et al: ‘Focus improvement of highly squinted data based on azimuth nonlinear scaling’, IEEE Trans. Geosci. Remote Sens., 2011, 49, (6), pp. 23082322.
    4. 4)
      • 4. Zeng, L.T., Liang, Y., Xing, M.D., et al: ‘A novel motion compensation approach for airborne spotlight SAR of high-resolution and high-squint mode’, IEEE Geosci. Remote Sens. Lett., 2016, 13, (3), pp. 429433.
    5. 5)
      • 5. Zhou, P., Chen, Y.M., Sun, W.F., et al: ‘Efficient imaging approach for spaceborne sliding spotlight synthetic aperture radar with a small squint angle’, J. Appl. Remote Sens., 2016, 9, (1), p. 095039.
    6. 6)
      • 6. An, Y.Y., Wang, D.X., Chen, R.S.: ‘Improved multilevel physical optics algorithm for fast computation of monostatic radar cross section’, IET Microw., Antennas Propag., 2014, 8, (2), pp. 9398.
    7. 7)
      • 7. Chen, X.L., Gu, C.Q., Ding, J., et al: ‘Direct solution of electromagnetic scattering from perfect electric conducting targets using multilevel characteristic basis function method with adaptive cross approximation algorithm’, IET Microw., Antennas Propag., 2013, 7, (3), pp. 195201.
    8. 8)
      • 8. Zhang, X.Y., Sheng, X.Q.: ‘Highly efficient hybrid method for monostatic scattering by objects on a rough surface’, IET Microw., Antennas Propag., 2010, 4, (10), pp. 15971604.
    9. 9)
      • 9. Li, X., Xie, Y., Yang, R.: ‘High-frequency method for scattering from coated targets with electrically large size in half space’, IET Microw., Antennas Propag., 2009, 3, (2), pp. 181186.
    10. 10)
      • 10. Pino, M.R., Landesa, L., Rodriguez, J.L., et al: ‘The generalized forward–backward method for analysing the scattering from targets on ocean-like rough surfaces’, IEEE Trans. Antenna Propagat., 1999, 47, (6), pp. 961969.
    11. 11)
      • 11. Holliday, D., DeRaad, L.L., St-Cyr, G.J.: ‘Volterra approximation for low grazing angle shadowing ocean-like surfaces’, IEEE Trans. Antenna Propagat., 1995, 43, (11), pp. 11991206.
    12. 12)
      • 12. Sawitzki, A.: ‘Electromagnetic modelling of surfaces using method of moments with calculated phase mesh’, IET Microw., Antennas Propag., 2015, 9, (12), pp. 13541362.
    13. 13)
      • 13. Pelletti, C., Bianconi, G., Mittra, R., et al: ‘Numerically efficient method-of-moments formulation valid over a wide frequency band including very low frequencies’, IET Microw., Antennas Propag., 2012, 6, (1), pp. 4651.
    14. 14)
      • 14. Colak, D., Newman, E.H.: ‘The multiple sweep method of moments (MSMM) design of wide-band antennas’, IEEE Trans. Antenna Propagat., 2002, 46, (9), pp. 13651371.
    15. 15)
      • 15. Umashankar, K.R., Nimmagadda, S., Taflove, A.: ‘Numerical analysis of electromagnetic scattering by electrically large objects using spatial decomposition technique’, IEEE Trans. Antenna Propagat., 1992, 40, (8), pp. 867877.
    16. 16)
      • 16. Johnson, J.T.: ‘A numerical study of scattering from an object above a rough surface’, IEEE Trans. Antenna Propagat., 2002, 50, (10), pp. 13611367.
    17. 17)
      • 17. Xu, F., Jin, Y.Q.: ‘Bidirectional analytic ray tracing for fast computation of composite scattering from electric-large target over a randomly rough surface’, IEEE Trans. Antenna Propagat., 2009, 57, (5), pp. 14951505.
    18. 18)
      • 18. Zhang, M., Zhao, Y., Li, J.X., et al: ‘Reliable approach for composite scattering calculation from ship over a sea surface based on FBAM and GO-PO models’, IEEE Trans. Antenna Propagat., 2017, 65, (2), pp. 775784.
    19. 19)
      • 19. Özdemir, C., Yilmaz, B., Özkan, Kirik: ‘pRediCS: A new GO-PO-based ray launching simulator for the calculation of electromagnetic scattering and RCS from electrically large and complex structures’, Turk. J. Elec. Eng. Comp. Sci., 2014, 22, (5), pp. 12551269.
    20. 20)
      • 20. Wei, P.B., Zhang, M., Niu, W., et al: ‘GPU-based combination of GO and PO for electromagnetic scattering of satellite’, IEEE Trans. Antenna Propagat., 2012, 60, (11), pp. 52785285.
    21. 21)
      • 21. Zhang, M., Chen, H., Yin, H.C.: ‘Facet-based investigation on EM scattering from electrically large sea surface with two-scale profiles: theoretical model’, IEEE Trans. Geosci. Remote Sens., 2011, 49, (6), pp. 19671975.
    22. 22)
      • 22. Wang, Y., Yang, J., Li, J.: ‘Geometrical distortion correction for extremely high-squint parameter-adjusting synthetic aperture radar’, Remote Sens. Lett., 2017, 8, (3), pp. 254261.
    23. 23)
      • 23. Gu, F., Zhang, Q., Chen, Y., et al: ‘Imaging method for highly squinted synthetic aperture radar with under-sampled echo data’, J. Appl. Remote Sens., 2015, 9, (1), p. 097495.
    24. 24)
      • 24. Raney, R.K., Runge, H., Bamler, R., et al: ‘Precision SAR processing using chirp scaling’, IEEE Trans. Geosci. Remote Sens., 1994, 32, (4), pp. 786799.
    25. 25)
      • 25. Li, Z.Y., Liang, Y., Xing, M.D., et al: ‘Focusing of highly squinted SAR data with frequency nonlinear chirp scaling’, IEEE Geosci. Remote Sens. Lett., 2016, 13, (1), pp. 2327.
    26. 26)
      • 26. Liu, R., Wang, Y.: ‘Extended nonlinear chirp scaling algorithm for highly squinted missile-borne synthetic aperture radar with diving acceleration’, J. Appl. Remote Sens., 2016, 10, (2), p. 025005.
    27. 27)
      • 27. Liu, G.G., Zhang, L.R., Liu, N., et al: ‘Focusing highly squinted data using the extended nonlinear chirp scaling algorithm’, IEEE Geosci. Remote Sens. Lett., 2013, 10, (2), pp. 342346.
    28. 28)
      • 28. Mittermayer, J., Moreira, A., Loffeld, O.: ‘Spotlight SAR data processing using the frequency scaling algorithm’, IEEE Trans. Geosci. Remote Sens., 1999, 37, (5), pp. 21982214.
    29. 29)
      • 29. Zhu, D.Y., Shen, M.W., Zhu, Z.D.: ‘Some aspects of improving the frequency scaling algorithm for dechirped SAR data processing’, IEEE Trans. Geosci. Remote Sens., 2008, 46, (6), pp. 15791588.
    30. 30)
      • 30. Jin, L.H., Liu, X.Z.: ‘Nonlinear frequency scaling algorithm for high squint spotlight SAR data processing’, EURASIP J. Adv. Sig. Process., 2008, 2008, (1), pp. 18.
    31. 31)
      • 31. Jiang, Z.H., Cheng, Z., Wan, J.W., et al: ‘Improved nonlinear frequency scaling algorithm for squint FMCW SAR’, Elect. Lett., 2007, 43, (18), pp. 996998.
    32. 32)
      • 32. Meta, A., Hoogeboom, P., Ligthart, L.P.: ‘Non-linear frequency scaling algorithm for FMCW SAR data’. Proc. EuRAD, Manchester, UK, September 2006, pp. 912.
    33. 33)
      • 33. Gordon, W.: ‘Far-field approximations to the Kirchoff–Helmholtz representations of scattered fields’, IEEE Trans. Antenna Propagat., 1975, 23, (4), pp. 590592.
    34. 34)
      • 34. Youssef, N.N.: ‘Radar cross section of complex targets’, Proc. IEEE, 1989, 77, (5), pp. 722734.

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