Advertisement

Bistatic SAR Imaging Based on Compressive Sensing Approach

  • Yong WangEmail author
  • Hongyuan Zhang
  • Jing Zhou
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

The compressive sensing (CS) technique has been introduced to the field of synthetic aperture radar (SAR) imaging procedure to reduce the amount of measurements. In this letter, a novel algorithm for bistatic SAR imaging based on the CS technique is proposed. The range profile is reconstructed by the Fourier transform, and the azimuth processing is implemented by the CS method consequently. The proposed algorithm can realize the high-quality imaging with limited measurements efficiently for the missing bistatic SAR radar echoes. Results of simulated data demonstrate the validity of the novel approach.

Keywords

CS technique Bistatic SAR Limited measurements 

Notes

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under grant 61471149 and 61622107, and the Fundamental Research Funds for the Central Universities.

References

  1. 1.
    Bu HX, Bai X, Tao R. Compressed sensing SAR imaging based on sparse representation in fractional Fourier domain. Sci China. 2012;55(8):1789–800.MathSciNetzbMATHGoogle Scholar
  2. 2.
    Dong X, Zhang Y. A novel compressive sensing algorithm for SAR imaging. IEEE J Sel Top Appl Earth Obs Remote Sens. 2014;7(2):708–20.CrossRefGoogle Scholar
  3. 3.
    Bu H, Tao R, Bai X, Zhao J. A novel SAR imaging algorithm based on compressed sensing. IEEE Geosci Remote Sens Lett. 2015;12(5):1003–7.CrossRefGoogle Scholar
  4. 4.
    Barber B. Theory of digital imaging from orbital synthetic aperture radar. Int J Remote Sens. 1985;6(6):1009–57.CrossRefGoogle Scholar
  5. 5.
    Candès EJ, Wakin MB. An introduction to compressive sampling. IEEE Signal Process Mag. 2008;25(2):21–30.CrossRefGoogle Scholar
  6. 6.
    Donoho DL. Compressed sensing. IEEE Trans Inf Theor. 2006;52(4):1289–306.MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Research Institute of Electronic Engineering Technology, Harbin Institute of TechnologyHarbinChina
  2. 2.Beijing Institute of Astronautical System EngineeringBeijingChina

Personalised recommendations