Skip to main content
SpringerLink
Log in

Alternative Target Density Functions for Radar Imaging

  • Conference paper
Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3984))

Included in the following conference series:

  • 883 Accesses

Abstract

In this paper, three alternative Target Density Functions (TDF) are proposed to image the radar targets. While the target density functions are developed by new techniques, they are obtained by considering a novel range and scanning angle plane different from the conventional methods. Although the imaging techniques are obtained via the linear phased array radars, the problem associated with beamforming is bypassed in these algorithms.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wald, L.: Some terms of reference in data fusion. IEEE Transactions on geoscience and remote sensing 37(3), 1190–1193 (1999)

    Article  Google Scholar 

  2. Sarma, V.V.S., Raju, S.: Multi-sensor data fusion and decision support for airborne target identification. IEEE Transactions on systems, man, and cybernetics 21(5) (1991)

    Google Scholar 

  3. Zhou, Y.T.: Multi-sensor image fusion, Image Processing. In: Proceedings. ICIP-1994, IEEE International Conference, November 13-16, vol. 1, pp. 193–197 (1994)

    Google Scholar 

  4. Durrant-Whyte, H.F.: Elements of sensor fusion, IEE Colloquium on Intelligent Control. 19, 5/1–5/2 (1991)

    Google Scholar 

  5. Varshney, P.K.: Multi-sensor data fusion. Electronics and communication engineering journal (December 1997)

    Google Scholar 

  6. Hall, D.L., Llinas, J.: An Introduction to multi-sensor data fusion. Proceedings of the IEEE 85(1), 6–23 (1997)

    Article  Google Scholar 

  7. Chen, V.C., Ling, H.: Time-Frequency transforms for radar imaging and signal analysis (2002)

    Google Scholar 

  8. Odendaal, J.W.: 2-D Radar Imaging, Communications and Signal Processing. In: COMSIG-1994, Proceedings of the 1994 IEEE South African Symposium on, vol. 4, pp. 146–151 (1994)

    Google Scholar 

  9. Prickett, M.J.: Principles of inverse synthetic aperture radar(ISAR) imaging. IEEE EASCON, 340–344 (1980)

    Google Scholar 

  10. Ausherman, D.A., Kozma, A., Walker, J., Jones, H.M., Poggio, E.C.: Developments in radar imaging. IEEE Transactions on Aerospace and Electronic Systems 20(4), 363–400 (1984)

    Article  Google Scholar 

  11. Woodward, P.M.: Probability and information theory with applications to radar (1957)

    Google Scholar 

  12. Siebert, W.M.: A radar detection philosophy. IEEE Transactions on Information Theory 2(3), 204–221 (1956)

    Article  MathSciNet  Google Scholar 

  13. Fowle, E.N., Kelly, E.J., Sheehan, J.A.: Radar system performance in a dense-target environment. IRE Int.Convention record (4), 136–145 (1961)

    Google Scholar 

  14. Naparst, H.: Dense target signal processing. IEEE Transactions on information theory 37(2), 317–327 (1991)

    Article  MathSciNet  Google Scholar 

  15. Demirkol, A., Demir, Z., Emre, E.: Estimation of target density function by a new algorithm. In: Second international image analysis and recognition conference, Toronto, Canada (September 2005)

    Google Scholar 

  16. Skolnik, M.I.: Introduction to radar systems (1980)

    Google Scholar 

  17. Pell, P.: Phased array radars. IEE Review 34(6), 363–367 (1988)

    Article  Google Scholar 

  18. Van Veen, B.D., Buckley, K.M.: Beamforming: A versatile approach to spatial filtering. ASSP Magazine, IEEE(also IEEE Signal Processing Magazine) 5(2), 4–24 (1988)

    Google Scholar 

  19. Hovanessian, S.A.: Introduction to synthetic array and imaging radars, Artech House (c1980)

    Google Scholar 

  20. Birk, R., Camus, W., Valenti, E.: Synthetic aperture radar imaging systems. Aerospace and Electronic Systems Magazine, IEEE 10(11), 15–23 (1995)

    Article  Google Scholar 

  21. Watts, S.: Synthetic aperture techniques, Digital Signal Processing for Radar and Sonar Applications. Tutorial Meeting on September 12, 7/1–7/22 (1990)

    Google Scholar 

  22. Chen, V.C., Qian, S.: Time frequency transform vs. fourier transform for radar imaging. In: Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, June 18-21, pp. 389–392 (1996)

    Google Scholar 

  23. Krone, A.W., Munson, D.C.: A Fourier model of ISAR imaging of approaching targets, Acoustics, Speech, and Signal Processing. In: 1992 IEEE International Conference on ICASSP-1992, March 23-26, vol. 3, pp. 13–16 (1992)

    Google Scholar 

  24. Chen, V.C., Lipps, R., Bottons, M.: Radar imaging of ground moving targets, Radar Conference. In: Proceedings of the 2001 IEEE, May 1-3, pp. 426–431 (2001)-(2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Missouri-Rolla, Rolla, MO, 65409-0040, USA

    Askin Demirkol

Authors
  1. Askin Demirkol
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary,, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd.,, Cathedral House 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Demirkol, A. (2006). Alternative Target Density Functions for Radar Imaging. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751649_40

Download citation

  • DOI: https://doi.org/10.1007/11751649_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34079-9

  • Online ISBN: 978-3-540-34080-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation