Skip to main content

Fast Moving Target Indication and Imaging in Stripmap SAR

  • Chapter
  • First Online:
Study on Ground Moving Target Indication and Imaging Technique of Airborne SAR

Part of the book series: Springer Theses ((Springer Theses))

  • 673 Accesses

Abstract

This chapter mainly discusses the GMTI and GMTIm algorithms in stripmap SAR/GMTI mode. The signal model of fast moving targets in stripmap SAR/GMTI mode is established, and the impacts of fast cross-track velocities on the Doppler ambiguity and higher order azimuth phase are analyzed. Furthermore, a classification of targets by the locations of their spectra is presented. Based on the classification, a Doppler centroid estimation algorithm based on curve fitting, a multiple target indication and echo extraction method, and a fast moving target imaging algorithm based on Hough transform and third-order PFT are presented. Finally, simulations and real data are utilized to prove the effectiveness of these algorithms.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bamler R (1991) Doppler frequency estimation and the Cramer-Rao bound. IEEE Trans Geosci Remote Sens 25(3):385–390

    Article  Google Scholar 

  2. Li FK, Held DN, Curlander JC, et al (1985) Doppler parameters estimation for spaceborne synthetic-aperture radars. IEEE Trans Geosci Remote Sens GE-23(1):47–56

    Google Scholar 

  3. Madsen SN (1989) Estimating the Doppler centroid of SAR data. IEEE Trans Aerosp Electronic Syst 25(2):134–140

    Article  Google Scholar 

  4. Lin MY (1986) Optimal Doppler centroid estimation for SAR data from a quasi-homogeneous source. IEEE Trans Geosci Remote Sens GE-24(2):1022–1025

    Google Scholar 

  5. Long T, Lu Z, Ding Z et al (2011) A DBS Doppler centroid estimation algorithm based on entropy minimization. IEEE Trans Geosci Remote Sens 49(10):3703–3712

    Article  Google Scholar 

  6. Wei S, Fang Z, Wang H (2004) An improved method of Doppler centroid estimation in SAR. In: IEEE international geoscience and remote sensing symposium, September 2004, vol 2, pp 1530–1533

    Google Scholar 

  7. Sun H, Gu H, Su W et al (2002) Two improved Doppler centroid estimation techniques in imaging through Doppler beam sharpening. ACTA Armamentarii 23(1):49–53

    Google Scholar 

  8. Jao JK (2001) Theory of synthetic aperture radar imaging of a moving target. IEEE Trans Geosci Remote Sens 39(9):1984–1992

    Article  Google Scholar 

  9. Zhu S, Liao G, Qu Y et al (2011) Ground moving targets imaging algorithm for synthetic aperture radar. IEEE Trans Geosci Remote Sens 49(1):462–477

    Article  Google Scholar 

  10. Xu R, Zhang D, Hu D et al (2012) A novel motion parameter estimation algorithm of fast moving targets via single-antenna airborne SAR system. IEEE Geosci Remote Sens Lett 9(5):920–924

    Article  Google Scholar 

  11. Hough PVC (1962) Method and means for recognizing complex patterns. US Patent 3069654, Dec 1962

    Google Scholar 

  12. Djurovic I, Thayaparan T, Stankovic L (2008) SAR imaging of moving targets using polynomial Fourier transform. IET Signal Proc 2(3):237–246

    Article  Google Scholar 

  13. Yang J, Huang X, Jin T et al (2011) New approach for SAR imaging of ground moving targets based on a Keystone transform. IEEE Geosci Remote Sens Lett 8(4):829–833

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian Yang .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this chapter

Cite this chapter

Yang, J. (2017). Fast Moving Target Indication and Imaging in Stripmap SAR. In: Study on Ground Moving Target Indication and Imaging Technique of Airborne SAR. Springer Theses. Springer, Singapore. https://doi.org/10.1007/978-981-10-3075-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-3075-8_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3074-1

  • Online ISBN: 978-981-10-3075-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics