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2018 | OriginalPaper | Buchkapitel

1. Introduction and Motivation

verfasst von : Michael Leigsnering

Erschienen in: Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging

Verlag: Springer International Publishing

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Abstract

The idea of “X-ray vision”, i.e., the ability to see through walls or other visually opaque obstacles, has been popularized in many science fiction stories and comic books, most notably Superman. From a scientific perspective, real X-rays are not well-suited for this purpose as they are absorbed by walls and pass through possible objects of interest.

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Nächstes Kapitel Fundamentals of Compressive Sensing
Literatur
[AA08]
F. Ahmad, M.G. Amin, Multi-location wideband synthetic aperture imaging for urban sensing applications. J. Frankl. Inst. 345(6), 618–639 (2008)CrossRefMATH
[AA12]
F. Ahmad, M.G. Amin, Partially sparse reconstruction of behind-the-wall scenes, in Proceedings SPIE Symposium on Defense, Security, and Sensing, Compressive Sensing Conference, Baltimore, USA, vol. 8365 (2012)
[AA13]
F. Ahmad, M.G. Amin, Through-the-wall human motion indication using sparsity-driven change detection. IEEE Trans. Geosci. Remote Sens. 51(2), 881–890 (2013)CrossRef
[AAK05]
F. Ahmad, M.G. Amin, S.A. Kassam, Synthetic aperture beamformer for imaging through a dielectric wall. IEEE Trans. Aerosp. Electron. Syst. 41(1), 271–283 (2005)CrossRef
[Ami11]
M.G. Amin (ed.), Through-the-Wall Radar Imaging (CRC Press, Boca Raton, FL, 2011)
[Ami15]
M.G. Amin (ed.), Compressive Sensing for Urban Radar (CRC Press, Boca Raton, FL, 2015)
[AQA15]
F. Ahmad, J. Qian, M.G. Amin, Wall clutter mitigation using discrete prolate spheroidal sequences for sparse reconstruction of indoor stationary scenes. IEEE Trans. Geosci. Remote Sens. 53(3), 1549–1557 (2015)CrossRef
[Bar08]
E. Baranoski, Through-wall imaging: historical perspective and future directions. J. Frankl. Inst. 345(6), 556–569 (2008)CrossRefMATH
[Bur06]
H. Burchett, Advances in through wall radar for search, rescue, and security applications, in IET Conference on Crime and Security, London, UK (2006), pp. 511–525
[Bur09]
R. Burkholder, Electromagnetic models for exploiting multi-path propagation in through-wall radar imaging, in International Conference on Electromagnetics in Advanced Applications, Torino, Italy (2009), pp. 572–575
[Cha11]
P.C. Chang, Physics-based inverse processing and multi-path exploitation for through-wall radar imaging. Ph.D. Dissertation, Ohio State University, 2011
[CM91]
J.C. Curlander, R.N. McDonough, Synthetic Aperture Radar (Wiley, New York, NY, 1991)MATH
[CSD14]
B. Chan, P. Sévigny, D.D.J. DiFilippo, Experimental 3-D SAR human target signature analysis, in Proceedings of SPIE 9243, SAR Image Analysis, Modeling, and Techniques XIV, vol. 9243 (2014), p. 92430Z
[CW08]
E. Candès, M. Wakin, An introduction to compressive sampling. IEEE Signal Process. Mag. 25(2), 21–30 (2008)CrossRef
[DA89]
J. Davis, A. Annan, Ground-penetrating radar for high-resolution mapping of soil and rock stratigraphy. Geophys. Prospect. 37(5), 531–551 (1989)CrossRef
[Dan96]
D. Daniels, Surface-penetrating radar. Electron. Commun. Eng. J. 8(4), 165–182 (1996)CrossRef
[DAZ09]
C. Debes, M.G. Amin, A. Zoubir, Target detection in single- and multiple-view through-the-wall radar imaging. IEEE Trans. Geosci. Remote Sens. 47(5), 1349–1361 (2009)CrossRef
[DK14]
V. Dang, O. Kilic, Joint DoA-range-doppler tracking of moving targets based on compressive sensing, in IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, TN, Memphis (2014), pp. 141–142
[DL09]
T. Dogaru, C. Le, SAR images of rooms and buildings based on FDTD computer models. IEEE Trans. Geosci. Remote Sens. 47(5), 1388–1401 (2009)CrossRef
[DS08]
M. Dehmollaian, K. Sarabandi, Refocusing through building walls using synthetic aperture radar. IEEE Trans. Geosci. Remote Sens. 46(6), 1589–1599 (2008)CrossRef
[DWZA10]
C. Debes, C. Weiss, A. Zoubir, M.G. Amin, Wall-clutter mitigation using cross-beamforming in through-the-wall radar imaging, in European Signal Processing Conference (EUSIPCO), Aalborg, Denmark (2010)
[GCS13]
G. Gennarelli, I. Catapano, F. Soldovieri, RF/microwave imaging of sparse targets in urban areas. IEEE Antennas Wirel. Propag. Lett. 12, 643–646 (2013)CrossRef
[GS13]
G. Gennarelli, F. Soldovieri, A linear inverse scattering algorithm for radar imaging in multipath environments. IEEE Geosci. Remote Sens. Lett. 10(5), 1085–1089 (2013)CrossRef
[HQWF10]
Q. Huang, L. Qu, B. Wu, G. Fang, UWB through-wall imaging based on compressive sensing. IEEE Trans. Geosci. Remote Sens. 48(3), 1408–1415 (2010)CrossRef
[JM09]
Y. Jin, J.M.F. Moura, Time-reversal detection using antenna arrays. IEEE Trans. Signal Process. 57(4), 1396–1414 (2009)MathSciNetCrossRef
[KSS11]
S. Kidera, T. Sakamoto, T. Sato, Extended imaging algorithm based on aperture synthesis with double-scattered waves for UWB radars. IEEE Trans. Geosci. Remote Sens. 49(12), 5128–5139 (2011)CrossRef
[LAAN12]
E. Lagunas, M.G. Amin, F. Ahmad, M. Nájar, Wall mitigation techniques for indoor sensing within the cs framework, in IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), USA, Hoboken (2012), pp. 213–216
[LAAN13]
E. Lagunas, M.G. Amin, F. Ahmad, M. Nájar, Joint wall mitigation and compressive sensing for indoor image reconstruction. IEEE Trans. Geosci. Remote Sens. 51(2), 891–906 (2013)CrossRef
[LAAZ13a]
M. Leigsnering, F. Ahmad, M.G. Amin, A. Zoubir, Compressive sensing based specular multipath exploitation for through-the-wall radar imaging, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada (2013), pp. 6004–6008
[LAAZ13b]
M. Leigsnering, F. Ahmad, M.G. Amin, A. Zoubir, CS based wall ringing and reverberation mitigation for through-the-wall radar imaging, in IEEE Radar Conference (RADAR), Canada, Ottawa (2013), pp. 1–5
[LAAZ14a]
M. Leigsnering, F. Ahmad, M.G. Amin, A. Zoubir, Multipath exploitation in through-the-wall radar imaging using sparse reconstruction. IEEE Trans. Aerosp. Electron. Syst. 50(2), 920–939 (2014)CrossRef
[LAAZ14b]
M. Leigsnering, F. Ahmad, M.G. Amin, A. Zoubir, Specular multipath exploitation for improved velocity estimation in through-the-wall radar imaging, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy (2014), pp. 1060–1064
[LAAZ15a]
M. Leigsnering, F. Ahmad, M.G. Amin, A. Zoubir, Compressive sensing based multipath exploitation for stationary and moving indoor target localization. IEEE J. Sel. Top. Signal Process. 9(8), 1469–1483 (2015)CrossRef
[LAAZ15b]
M. Leigsnering, F. Ahmad, M.G. Amin, A. Zoubir, Multipath exploitation in sparse scene recovery using sensing-through-wall distributed radar sensor configurations, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia (2015)
[LAAZ16]
M. Leigsnering, F. Ahmad, M.G. Amin, A. Zoubir, Parametric dictionary learning for sparsity-based TWRI in multipath environments. IEEE Trans. Aerosp. Electron. Syst. 52(2), 532–547 (2016)CrossRef
[LB15]
G. Li, R. Burkholder, Hybrid matching pursuit for distributed through-wall radar imaging. IEEE Trans. Antennas Propag. PP(99), 1–1 (2015)
[LDZ11]
M. Leigsnering, C. Debes, A. Zoubir, Compressive sensing in through-the-wall radar imaging, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic (2011), pp. 4008–4011
[LN10]
C.-P. Lai, R. Narayanan, Ultrawideband random noise radar design for through-wall surveillance. IEEE Trans. Aerosp. Electron. Syst. 46(4), 1716–1730 (2010)CrossRef
[LZL10]
L. Li, W. Zhang, F. Li, A novel autofocusing approach for real-time through-wall imaging under unknown wall characteristics. IEEE Trans. Geosci. Remote Sens. 48(1), 423–431 (2010)MathSciNetCrossRef
[MKA+08]
J. Moulton, S. Kassam, F. Ahmad, M.G. Amin, K. Yemelyanov, Target and change detection in synthetic aperture radar sensing of urban structures, in IEEE Radar Conference (RADAR), Italy, Rome (2008)
[ML13]
H. Mansour, D. Liu, Blind multi-path elimination by sparse inversion in through-the-wall-imaging, in IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin (2013)
[QAA13]
J. Qian, F. Ahmad, M.G. Amin, Joint localization of stationary and moving targets behind walls using sparse scene recovery. J. Electron. Imaging 22(2), 021002 (2013)CrossRef
[RCP10]
T. Ralston, G. Charvat, J. Peabody, Real-time through-wall imaging using an ultrawideband multiple-input multiple-output (MIMO) phased array radar system, in IEEE International Symposium on Phased Array Systems and Technology (ARRAY) (2010), pp. 551–558
[SAA11]
P. Setlur, M.G. Amin, F. Ahmad, Multipath model and exploitation in through-the-wall and urban radar sensing. IEEE Trans. Geosci. Remote Sens. 49(10), 4021–4034 (2011)CrossRef
[SAN13]
P. Setlur, G. Alli, L. Nuzzo, Multipath exploitation in through-wall radar imaging via point spread functions. IEEE Trans. Image Process. 22(12), 4571–4586 (2013)MathSciNetCrossRefMATH
[SAS11]
F. Soldovieri, F. Ahmad, R. Solimene, Validation of microwave tomographic inverse scattering approach via through-the-wall experiments in semicontrolled conditions. IEEE Geosci. Remote Sens. Lett. 8(1), 123–127 (2011)CrossRef
[SLA+15]
M. Stiefel, M. Leigsnering, F. Ahmad, M.G. Amin, A.M. Zoubir, Distributed greedy sparse recovery for through-the-wall radar imaging, in International Review of Progress in Applied Computational Electromagnetics (ACES), Compressive Sensing, Williamsburg, VA, vol. S07 (2015)
[SM12]
G. Smith, B. Mobasseri, Robust through-the-wall radar image classification using a target-model alignment procedure. IEEE Trans. Image Process. 21(2), 754–767 (2012)MathSciNetCrossRefMATH
[SS07]
F. Soldovieri, R. Solimene, Through-wall imaging via a linear inverse scattering algorithm. IEEE Geosci. Remote Sens. Lett. 4(4), 513–517 (2007)CrossRef
[SSA12]
F. Soldovieri, R. Solimene, F. Ahmad, Sparse tomographic inverse scattering approach for through-the-wall radar imaging. IEEE Trans. Instrumen. Meas. 61(12), 3340–3350 (2012)CrossRef
[SYL05]
L.-P. Song, C. Yu, Q.H. Liu, Through-wall imaging (TWI) by radar: 2-D tomographic results and analyses. IEEE Trans. Geosci. Remote Sens. 43(12), 2793–2798 (2005)CrossRef
[TBA11]
F.H.C. Tivive, A. Bouzerdoum, M.G. Amin, An SVD-based approach for mitigating wall reflections in through-the-wall radar imaging, in IEEE Radar Conference (RADAR), MO, Kansas City (2011), pp. 519–524
[TS10]
Q. Tan, Y. Song, A new method for multipath interference suppression in through-the-wall UWB radar imaging, in International Conference on Advanced Computer Control (ICACC), Shenyang, China, vol. 5 (2010), pp. 535–540
[WF12]
Y. Wang, A. Fathy, Advanced system level simulation platform for three-dimensional UWB through-wall imaging SAR using time-domain approach. IEEE Trans. Geosci. Remote Sens. 50(5), 1986–2000 (2012)CrossRef
[YA08]
Y.-S. Yoon, M. Amin, Compressed sensing technique for high-resolution radar imaging, in Proceedings of SPIE Signal Processing, Sensor Fusion, and Target Recognition XVII, Orlando, FL, vol. 6968, no. 1 (2008), p. 69681A
[YA09]
Y.-S. Yoon, M. Amin, Spatial filtering for wall-clutter mitigation in through-the-wall radar imaging. IEEE Trans. Geosci. Remote Sens. 47(9), 3192–3208 (2009)CrossRef
[ZH11]
W. Zhang, A. Hoorfar, Two-dimensional diffraction tomographic algorithm for through-the-wall radar imaging. Prog. Electromagn. Res B 31, 205–218 (2011)CrossRef
[ZHL10]
W. Zhang, A. Hoorfar, L. Li, Through-the-wall target localization with time reversal music method. Prog. Electromagn. Res. 106, 75–89 (2010)CrossRef
[ZHTA11]
W. Zhang, A. Hoorfar, C. Thajudeen, F. Ahmad, Full polarimetric beam-forming algorithm for through-the-wall radar imaging. Radio Sci. 46 (2011), p. RS0E16
Metadaten
Titel
Introduction and Motivation
verfasst von
Michael Leigsnering
Copyright-Jahr
2018
Buch
Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging

Print ISBN: 978-3-319-74282-3

Electronic ISBN: 978-3-319-74283-0

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-74283-0_1

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