skip to main content
10.1145/3278161.3278173acmotherconferencesArticle/Chapter ViewAbstractPublication PagesictrsConference Proceedingsconference-collections
research-article

Complex SAR signal modeling and image reconstruction

Published:08 October 2018Publication History

ABSTRACT

The work addresses the Synthetic Aperture Radar (SAR) geometry, signal model and imaging process. Mathematical description of the observed surface is presented. A waveform with linear frequency modulation (LFM) reflected by the surface is used to produce a two-dimensional (2-D) SAR signal model presented as a sum of Hadamard products of two-and four-dimensional matrices (arrays) with a specially defined rectangular function. It is proven that the SAR signal formation and image reconstruction can be interpreted as direct and inverse projection operations. Based on linearization of the inverse projection, two-dimensional inverse Fourier transform is applied to obtain a complex image known as a Single Look Complex (SLC) image, which can be used for interferogram generation. To verify the proposed SAR kinematics and geometry, surface geometry, signal models and image reconstruction algorithms a numerical experiment is carried out.

References

  1. G. Bryant, M., L. Bryant, L. Gostin, M. Soumekh 2003. "3-D E-CSAR Imaging of a T-72 Tank and Synthesis of its SAR Reconstructions,", IEEE Trans. on AES, 39 (1), 211--227.Google ScholarGoogle Scholar
  2. Y. L. Neo, Fr. Wong, I. G. Cumming 2007. A two-dimensional spectrum for bistatic SAR processing using series reversion, Geoscience and Remote Sensing Letters, 4(1), 93--97.Google ScholarGoogle ScholarCross RefCross Ref
  3. K-Sh. Chen 2015. Principles of Synthetic Aperture Radar Imaging - A System Simulation Approach, Boca Raton, CRC Press, p. 219. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Y. Liu, Y. Kai Deng, R. Wang, O. Loffeld 2013. Bistatic FMCW SAR Signal Model and Imaging Approach, IEEE Trans. on AES, 49, (3), 2017--2028.Google ScholarGoogle Scholar
  5. W-Q. Wang, J. Cai, Q. Peng 2008. Models and signal processing for millimeter-wave LFMCW SAR imaging, Aerospace Conference, IEEE, 1--8 March.Google ScholarGoogle ScholarCross RefCross Ref
  6. B. Wang, Zh. Hu, W. Guan, Q. Liu, J. Guo 20015. Study on the echo signal model and R-D imaging algorithm for FMCW SAR, Radar Conference 2015, IET International, 14-16 Oct. 2015.Google ScholarGoogle Scholar
  7. L. Weiping, H. Yang, T. Zongxi 2016. "Analyses of signal characteristics of highly-maneuvering platform SAR and time-domain imaging method, Signal and Image Processing (ICSIP)," IEEE International Conference on, 13-15 Aug. 2016.Google ScholarGoogle Scholar
  8. M. Gilman, Er. Smith, S. Tsynkov 2017. Transionospheric Synthetic Aperture Imaging, Birkhauser, Apr 13, 2017 - Mathematics, 458 pages.Google ScholarGoogle ScholarCross RefCross Ref
  9. J. Yang 2017. Study on Ground Moving Target Indication and Imaging Technique of Airborne SAR, Springer, Jan 9, 2017 - Technology & Engineering - 109 p. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Maslikoski, P. Samczynski, M. Baczyk, P. Krysik, Krz. Kulpa 2014. Passive bistatic SARimaging-Challenges and limitations, IEEE Aerospace and Electronic Sytems Magazine, 29, (7), 23--29.Google ScholarGoogle ScholarCross RefCross Ref
  11. P. Samczynski, Krz. Kulpa, M. Malanowski, P. Krysik 2011. A concept of GSM-based passive radar for vehicle traffic monitoring, Microwaves, Radar and Remote Sensing Symposium (MRRS), 271--274.Google ScholarGoogle Scholar
  12. Q. Xin, Zh. Jiang, P. Cheng, Mi He 2014. Signal Processing for Digital Beamforming FMCW SAR, Mathematical Problems in Engineering, vol. 2014, Article ID 859890, 10 pagesGoogle ScholarGoogle ScholarCross RefCross Ref
  13. J-M. Niclas, G. Vasile, M. Gay, Fl. Tupin, Em. Trouvé 2007. SAR processing in the temporal domain: application to direct interferogram generation and mountain glacier monitoring, Can. J. Remote Sensing, 33, (1), 52--59.Google ScholarGoogle ScholarCross RefCross Ref
  14. C. Colesanti, Al. Ferretti, F. Novali, Cl. Prati, F. Rocca 2003. SAR monitoring of progressive and seasonal ground deformation using the Permanent Scatterers Technique, IEEE Transactions on Geoscience and Remote Sensing, 41(7): 1685--1701.Google ScholarGoogle ScholarCross RefCross Ref
  15. A. Julea, G. Vasile, Iv. Petilot, Em.Trouve, M. Gay, J-M. Nicolas, Ph. Bolon. Simulation of SAR Images and Radar Coding of Georeferenced Information for Temperate Glacier Monitoring," Laboratoire d'Informatique, Systμemes, Traitement de l'Information et de la Connaissance, Universite de Savoie - ESIA - BP 806 - F-74016 Annecy Cedex - FRANCE.Google ScholarGoogle Scholar
  16. K. Ren, G. Wu, X.Q.Shi, V. Prinet. "Simulation of interferograms for spaceborn SAR system," Dept. of Electronic Engineering, Nanjing University of Sciences and Technology, Nanjing, National Laboratory of Pattern Recognition, Institute of Automation, CAS.Google ScholarGoogle Scholar

Index Terms

  1. Complex SAR signal modeling and image reconstruction

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          ICTRS '18: Proceedings of the Seventh International Conference on Telecommunications and Remote Sensing
          October 2018
          91 pages
          ISBN:9781450365802
          DOI:10.1145/3278161
          • General Chairs:
          • Marijn Janssen,
          • Boris Shishkov,
          • Program Chairs:
          • Andon Lazarov,
          • Dimitris Mitrakos

          Copyright © 2018 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 8 October 2018

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate7of15submissions,47%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader