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3D imaging by fast deconvolution algorithm in short-range UWB radar for concealed weapon detection

Published online by Cambridge University Press:  03 April 2013

Timofey Savelyev  and
Alexander Yarovoy
Timofey Savelyev*
Affiliation:
Delft University of Technology, Microwave Sensing, Systems and Signals, Mekelweg 4, 2628CD Delft, The Netherlands. Phone: +31 1527 82496 Omniradar, Langegracht 39, 3601 AJ Maarssen, The Netherlands
Alexander Yarovoy
Affiliation:
Delft University of Technology, Microwave Sensing, Systems and Signals, Mekelweg 4, 2628CD Delft, The Netherlands. Phone: +31 1527 82496
*
Corresponding author: T. Savelyev Email: [email protected]
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Abstract

A fast imaging algorithm for real-time use in short-range (ultra-wideband) radar with synthetic or real-array aperture is proposed. The reflected field is presented here as a convolution of the target reflectivity and point spread function (PSF) of the imaging system. To obtain a focused 3D image, the proposed algorithm deconvolves the PSF out from the acquired data volume with high speed due to fast Fourier transform and implementation in frequency-wavenumber domain. Then the result is tested against two numerical criteria for efficiency, namely error and instability, whose optimal values can be obtained iteratively. Since the PSF differs with distance, the algorithm suits mainly applications with relatively small objects such as concealed weapon detection. Using several PSFs allows us to image a certain range of interest by their successive deconvolution from the same data. Performance of the algorithm has been evaluated experimentally and compared with that of Kirchhoff migration. Measurements were carried out by a 5–25 GHz synthetic aperture radar in the lab, and scenarios included a gun and a ceramic knife in free space, on a large metal plate, and a gun concealed on a dummy under a thick raincoat. The results demonstrate sufficient image quality obtained in a fraction of time.

Keywords

Radar and Homeland securityRadar signal processing and system modeling
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 5 , Special Issue 3: European Microwave Week 2012 , June 2013 , pp. 381 - 389
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2013 

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References

REFERENCES

[1]Augurto, A.; Li, Y.; Tian, G.Y.; Bowring, N.; Lockwood, S.: A review of concealed weapon detection and research in perspective, in IEEE Conf. on Networking, Sensing and Control, London, 2007, 443–448.Google Scholar
[2]Zhuge, X.; Yarovoy, A.; Savelyev, T.; Ligthart, L.: Modified Kirchhoff migration for UWB MIMO array-based imaging. IEEE Trans. Geosci. Remote Sens., 6 (2010), 2692–2703.CrossRefGoogle Scholar
[3]Zhuge, X.; Savelyev, T.G.; Yarovoy, A.G.; Ligthart, L.P.; Levitas, B.: Comparison of different migration techniques for UWB short-range imaging, in European Radar Conf. (EuRAD), Rome, 2009, 184–187.Google Scholar
[4]Lopez-Sanchez, J.M.; Fortuny-Guasch, J.: 3-D radar imaging using range migration techniques. IEEE Trans. Antennas Propag., 5 (2000), 728–737.Google Scholar
[5]Kidera, S.; Sakamoto, T.; Sato, T.: Accurate UWB radar 3-D imaging algorithm for complex boundary without range points connections. IEEE Trans. Geosci. Remote Sens., 4 (2010), 1993–2004.Google Scholar
[6]Lee, D.; Mason, I.M.; Jackson, G.M.: Split-step Fourier short-record migration with deconvolution imaging. Geophysics, 11 (1991), 1786–1793.Google Scholar
[7]Zunino, A.; Benvenuto, F.; Armadillo, E.; Bertero, M.; Bozzo, E.: Iterative deconvolution and semiblind deconvolution methods in magnetic archaeological prospecting. Geophysics, 4 (2009), 43–51.CrossRefGoogle Scholar
[8]Scheers, B.; Acheroy, M.; Vander Vorst, A.: Migration technique based on deconvolution, in Ground Penetrating Radar, 2nd ed., IEE, Bodmin, 2004, 283–293.Google Scholar
[9]Savelyev, T.; van Kempen, L.; Sahli, H.: Deconvolution techniques, in Ground Penetrating Radar, 2nd ed., IEE, Bodmin, 2004, 298–310.Google Scholar
[10]Daniels, D.J.; Allan, R.: Multi-channel landmine detection radar signal processing using blind deconvolution, in European Radar Conf. (EuRAD), Rome, 2009, 97–100.Google Scholar
[11]Savelyev, T.G.; van Tol, N.; Yarovoy, A.G.; Ligthart, L.P.: Advanced imaging by space-time deconvolution in array GPR, in Ultra-wideband short-pulse electromagnetics 9, springer, New York, 2010, 105–111.Google Scholar
[12]Dhaene, T.; Martens, L.; De Zutter, D.: Generalized iterative frequency domain deconvolution technique, in IEEE Conf. on Instrumentation and Measurement Technology (IMTC), Irvine, California, 1993, 85–87.Google Scholar
[13]Astanin, L. Yu.; Kostylev, A.A.: Ultrawideband Radar Measurements Analysis and Processing, IEE, London, 1997.Google Scholar
[14]Zhuge, X.; Yarovoy, A.: Design of low profile antipodal Vivaldi antenna for ultra-wideband near-field imaging, The Fourth European Conf. on Antennas and Propagation (EuCAP), Barcelona, 2010, 1–5.Google Scholar