Skip to main content
Log in

Squint-mode InISAR imaging based on nonlinear least square and coordinates transform

  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

Aiming at the interferometric inverse synthetic aperture radar (InISAR) imaging in the presence of squint, we investigate the influence of squint on the InISAR imaging. First, coupling of the squint additive phase and the target azimuth/altitude coordinates to be solved may make the solution more difficult. Second, the squint angle may lead to estimation error of the vertical coordinates and distortion of the ultimate image. Traditional InISAR imaging algorithms can not solve the above two problems effectively, so we propose a new method which combines the nonlinear least square (NLS) and coordinates transform (CT) to estimate the target coordinates, and a three-dimensional (3-D) image consistent with the real target is obtained accordingly. Simulations show that the proposed method is effective for the squint-mode InISAR imaging.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Walker J L. Range-Doppler imaging of rotating objects. IEEE Trans Aerosp Electron Sy, 1980, 16: 23–52

    Article  Google Scholar 

  2. Bao Z, Xing M D, Wang T. Radar Imaging Approaches. Beijing: Publishing House of Electronics Industry, 2005. 24–30

    Google Scholar 

  3. Wehner D R. High-Resolution Radar. 2nd ed. Boston: Artech House, 1995

    Google Scholar 

  4. Zhang D C. Research on the Key Techniques of Interferometric Inverse Synthetic Aperture Radar Imaging. Hefei: University of Science and Technology of China, 2009

    Google Scholar 

  5. Ma C Z. Reserach on Radar Target Three-Dimensional Imaging. Xi’an: Xidian University, 1999

    Google Scholar 

  6. Wang G Y, Xia X G, Chen V C. Three-dimensional ISAR imaging of maneuvering targets using three receivers. IEEE Trans Image Proc, 2001, 10: 436–447

    Article  Google Scholar 

  7. Xu X J, Narayanan R M. Three-dimensional interferometric ISAR imaging for target scattering diagnosis and modeling. IEEE Trans Image Proc, 2001, 10: 1094–1102

    Article  MATH  Google Scholar 

  8. Zhang Q, Ma C Z, Zhang T, et al. Research on 3-D imaging technique for interferometric inverse synthetic aperture radar. J Electron Inform Tech, 2001, 23: 890–898

    Google Scholar 

  9. Zhang Q, Yeo T S. Three-dimensional SAR imaging of a ground moving target using the InISAR technique. IEEE Trans Geosci Remot Sen, 2004, 42: 1818–1828

    Article  Google Scholar 

  10. Zhang Q, Yeo T S, Du G, et al. Estimation of three-dimensional motion parameters in interferometric ISAR imaging. IEEE Trans Geosci Remot Sen, 2004, 42: 292–300

    Article  Google Scholar 

  11. Given J A, Schmidt W R. Generalized ISAR-part II: Interferometric techniques for three-dimensional location of scatterers. IEEE Trans Image Proc, 2005, 14: 1792–1797

    Article  Google Scholar 

  12. Gao Z, Xing M D, Zhang S H. 3D image reconstruction using the InISAR technique. J Xidian Univ, 2008, 35: 883–888

    Google Scholar 

  13. Li L Y, Liu H W, Jiu B, et al. An interferometric inverse synthetic aperture radar imaging algorithms for squint model. J Xi’an Jiao tong Univ, 2008, 42: 1290–1294

    Google Scholar 

  14. Ma C Z, Yeo T S, Tan H S, et al. Interferometric ISAR imaging on squint model. Prog Electromagn Res L, 2008, 2: 125–133

    Article  Google Scholar 

  15. Kostis T G, Galanis K G, Katsikas S K. Angular glint effects generation for false naval target verisimility requirements. Meas Sci Technol, 2009, 20: 1–13

    Article  Google Scholar 

  16. Zhang D C, Wang D J, Chen W D. An InISAR 3-D imaging method based on joint cross-time-frequency distribution. Acta Electron Sin, 2009, 37: 833–838

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to ChengLan Liu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, C., He, F., Gao, X. et al. Squint-mode InISAR imaging based on nonlinear least square and coordinates transform. Sci. China Technol. Sci. 54, 3332–3340 (2011). https://doi.org/10.1007/s11431-011-4515-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-011-4515-9

Keywords

Navigation