Skip to main content
SpringerLink
Log in

A CGRT-CLEAN Method for Circular SAR Three Dimensional Imaging

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 202))

Abstract

A three dimensional (3D) imaging method which is a complex-valued generalized Radon transform (CGRT)-CLEAN algorithm for circular synthetic aperture radar (CSAR) is proposed in this chapter. Based on the analysis of CSAR echo model, the echo of a scatterer in the range-azimuth domain can be modeled as a single cycle sinusoid. Inspired by the generalized Radon transform, this chapter utilizes the CGRT to estimate for scatterers’ positions. Then, combining the CGRT with CLEAN technique, the parameters of a scatterer which include position information and reflection coefficient can be obtained. Thus, a 3D image of a target can also be reconstructed. The performances of the CGRT-CLEAN method have been verified by simulations, and the results confirm the effectiveness of the proposed algorithm for processing CSAR data.

This work is supported by the Fundamental Research Funds for the Central Universities under Projects ZYGX2009Z005.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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. Soumekh M (1999) Synthetic aperture radar signal processing with Matlab algorithms. Wiley, New York

    Google Scholar 

  2. Soumekh M (1992) A system model and inversion for synthetic aperture radar imaging. IEEE Trans Image Process 1:64–76

    Article  Google Scholar 

  3. Knaell KK (1994) Three-dimensional SAR from curvilinear aperture. Proc SPIE 2230:120–134

    Article  Google Scholar 

  4. Soumekh M (1996) Reconnaissance with slant plane circular SAR imaging. IEEE Trans Image Process 5(8):1252–1265

    Article  Google Scholar 

  5. Ishimaru A, Chan T, Kuga Y (1998) An imaging technique using confocal circular synthetic aperture radar. IEEE Trans Geosci Remote Sens 36(5):1524–1530

    Article  Google Scholar 

  6. Cantalloube H, Koeniquer EC (2007) High resolution SAR imaging along circular trajectories. In: Proc IGARSS, Barcelona, Spain pp 2259–2262

    Google Scholar 

  7. Beylkin G (1985) Imaging of discontinuities in the inverse scattering problem by inversion of a causal generalized radon transform. J Math Phys 26:99–108

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Biao Zhang, Yiming Pi & Rui Min

Authors
  1. Biao Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yiming Pi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rui Min
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Biao Zhang .

Editor information

Editors and Affiliations

  1. University of Texas at Arlington, 416 Yates St, Rm 518, Box 19016, Arlington, 76019-0016, Texas, USA

    Qilian Liang

  2. College of Physical and Electronic Infor, Tianjin Normal University, Bingshui West Road, XiQing District, Tianjin, 300387, China, People's Republic

    Wei Wang

  3. College of Physical and Electronic Infor, Tianjin Normal University, Bingshui West Road, XiQing District, Tianjin, 300387, China, People's Republic

    Jiasong Mu

  4. School of electronic engineering, University of Electronic Science and Tec, Xiyuan Road, Gaoxin District, Chengdu, 611731, China, People's Republic

    Jing Liang

  5. College of Physical and Electronic Infor, Tianjin Normal University, Bingshui West Road, XiQing District, Tianjin, 300387, China, People's Republic

    Baoju Zhang

  6. School of Electronic Engineering, University of Electronic Science and Tec, Xiyuan Road, Gaoxin district, Chengdu, 611731, China, People's Republic

    Yiming Pi

  7. School of Information and Communication, Beijing University of Posts and Telecomm, Xitucheng Road 10, Beijing, 100876, China, People's Republic

    Chenglin Zhao

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media New York

About this paper

Cite this paper

Zhang, B., Pi, Y., Min, R. (2012). A CGRT-CLEAN Method for Circular SAR Three Dimensional Imaging. In: Liang, Q., et al. Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 202. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5803-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-5803-6_5

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5802-9

  • Online ISBN: 978-1-4614-5803-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation