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Passive compression technique applied to UWB beamforming and imaging architectures

Published online by Cambridge University Press:  21 March 2016

Thomas Fromenteze ,
Ettien L. Kpré ,
Cyril Decroze  and
David Carsenat
Thomas Fromenteze*
Affiliation:
XLIM – CNRS 123, Avenue Albert Thomas, 87060 Limoges Cedex, France
Ettien L. Kpré
Affiliation:
XLIM – CNRS 123, Avenue Albert Thomas, 87060 Limoges Cedex, France
Cyril Decroze
Affiliation:
XLIM – CNRS 123, Avenue Albert Thomas, 87060 Limoges Cedex, France
David Carsenat
Affiliation:
XLIM – CNRS 123, Avenue Albert Thomas, 87060 Limoges Cedex, France
*
Corresponding author:T. Fromenteze Email: thomas.fromenteze@duke.edu
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Abstract

Recent works have demonstrated the feasibility of microwave imaging using compressive techniques, exempting the use of active delay lines, phase shifters, or moving parts to achieve beamforming. With this method, waves are coded in a passive way by a compressive device to reduce the complexity of the transmitter and/or receiver chains of the telecommunication and radar systems requiring beamsteering. Such a technique is based on the exploitation of the frequency diversity, implying that a reduction of the compressive device's volume imposes a diminution of the number of driven antennas. In this paper, the improvement brought by simultaneous excitations of the compressive device is presented. Adapting a new mathematical formulation, it is shown that M inputs can send independent waveforms allowing the beamsteering of an N-elements antenna array, while maintaining N > M.

Keywords

Radar applicationsWave propagation and scattering: modelling and measurements
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Special Issue 4-5: EuMW 2015 Special Issue , June 2016 , pp. 815 - 823
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2016 

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References

REFERENCES

[1] Zhuge, X.: Short-range ultra-wideband imaging with multiple-input multiple-output arrays. Deft Univ. of Inst. Repository, (2010), 25–206.Google Scholar
[2] Carsenat, D.; Decroze, C.: UWB antennas beamforming using passive time-reversal device. IEEE Antennas Wireless Propag. Lett., 11 (2012), 779–782.CrossRefGoogle Scholar
[3] Fromenteze, T.; Decroze, C.; Carsenat, D.: Waveform coding for passive multiplexing: application to microwave imaging. IEEE Trans. Antennas Propag., 63 (2) (2014), 593–600.CrossRefGoogle Scholar
[4] Hunt, J. et al. : Metamaterial apertures for computational imaging. Science, 339 (2013), 310–313.CrossRefGoogle ScholarPubMed
[5] Lipworth, G. et al. : Metamaterial apertures for coherent computational imaging on the physical layer. J. Opt. Soc. Am. A, 30 (8) (2013), 1603–1612.CrossRefGoogle ScholarPubMed
[6] Fromenteze, T. et al. : Unification of compressed imaging techniques in the microwave range and deconvolution strategy, in Proc. 12th European Radar Conf., (2005).Google Scholar
[7] Fromenteze, T.; Decroze, C.; Carsenat, D.: UWB passive beamforming for large antenna arrays, in IEEE Int. Conf. Ultra-WideBand, (2014).Google Scholar
[8] Fromenteze, T.; Decroze, C.; Carsenat, D.: Miniaturized device for passive microwave UWB beamforming, in IEEE Proc. 8th European Conf. Antennas and Propagation, (2014).Google Scholar
[9] Draeger, C.; Aime, J.-C.; Fink, M.: One-channel time -reversal in chaotic cavities: experimental results. J. Acoust. Soc. Am., 105 (1999), 618–625.CrossRefGoogle Scholar
[10] de Rosny, J.; Tourin, A.; Fink, M.: Coherent backscattering of an elastic wave in a chaotic cavity, Phys. Rev. Lett., 84 (2000), 1693–1697.CrossRefGoogle Scholar
[11] Zhuge, X.; Yarovoy, A.: Design of low profile antipodal Vivaldi antenna for ultra-wideband near-field imaging, in IEEE Proc. 4th European Conf. Antennas and Propagation (EuCAP), (2010).Google Scholar
[12] Lopez-Sanchez, J.M.; Fortuny-Guasch, J.: 3-D radar imaging using range migration techniques. IEEE Trans. Antennas Propag., 48 (2000), 728–737.CrossRefGoogle Scholar
[13] Fromenteze, T. et al. : Computational imaging using a mode-mixing cavity at microwave frequencies. Appl. Phys. Lett., 106 (2015), 194104.CrossRefGoogle Scholar
[14] Fromenteze, T.; Kpre, E.; Carsenat, D.; Decroze, C.: Clean deconvolution applied to passive compressed beamforming. Prog. Electromagn. Res. C, 56 (2015), 163–172.CrossRefGoogle Scholar