GTD-Based Model of Terahertz Radar Scattering Center Distance Estimation Method

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

Abstract

A large increase in terahertz radar resolution under large bandwidth condition is particularly important for one-dimensional distance projection method to obtain more extensive information about the target feature. This chapter presents the details of a terahertz radar echo data model in terms of the geometrid theory of diffraction concept. The MUSIC spectral estimation algorithm in the implementation process is discussed. Finally, the MUSIC spectral estimation algorithm from the estimated scattering center projections and at different signal-to-noise ratios is simulated. The results obtained exhibited high precision, and noise immunity was better, which proves the effectiveness of the spectral estimation using MUSIC algorithm.

Keywords

Terahertz MUSIC algorithm GTD model Distance from the scattering center 

Notes

Acknowledgments

This work is supported by the Fundamental Research Funds for Central Universities under Project ZYGX2009J095.

References

  1. 1.
    Shinnan YD, Leshchenko SP, Oflenko VM (2004) Wideband radar (advantages and problems). Ultrawideband and ultrashort impulse signals. In: 2004 second international workshop, Sevastopol, Ukraine, pp 71–76Google Scholar
  2. 2.
    Wehner DR (1987) High resolution radar. Artech House, Norwood, MAGoogle Scholar
  3. 3.
    Siegel PH (2002) Terahertz technology. IEEE Trans Microw Theory and Tech 50(3):910–928CrossRefGoogle Scholar
  4. 4.
    Chen han (2007) Terahertz technology and its applications. China Sci Technol Inf 20:274–275Google Scholar
  5. 5.
    Wehner DR (1995) High resolution radar, 2nd edn. Artech House, Boston/LondonGoogle Scholar
  6. 6.
    Ausherman DA (1984) Development in radar imaging. IEEE Trans AES 20(4):363–397Google Scholar
  7. 7.
    Potter LC (1995) A GTD-based parametric model for radar scattering. IEEE Trans Antennas Propag 43(10):234–245CrossRefGoogle Scholar
  8. 8.
    Davies AG, Linfield EH, Pepper M (2004) The terahertz gap: the generation of far-infrared radiation and its applications. Phil. Trans. R. Soc. Lond. A 362, 195–414Google Scholar
  9. 9.
    Cooper KB, Dengler RJ, Llombart N (2009) An approach for sub-second imaging of concealed objects using terahertz (THz) radar. J Infrared Millim Terahertz Waves 30(12):1297–1307Google Scholar
  10. 10.
    Cooper KB, Dengler RJ, Llombart N et al (2010) Fast, high-resolution terahertz radar imaging at 25 meters, terahertz physics, devices, and systems IV: advanced applications in industry and defense. In: Proceedings of SPIE, vol 7671. OrlandoGoogle Scholar
  11. 11.
    Kim K, Seo D, Kim H (2002) Efficient radar target recognition using the MUSIC algorithm and invariant features. IEEE Trans Antennas Propag 50(3):325–337CrossRefGoogle Scholar
  12. 12.
    Yoon Y, Amin MG (2008) High-resolution through-the-wall radar imaging using beamspace MUSIC. IEEE Trans Antennas Propag 56(6):1763–1774CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

Personalised recommendations