The support vector machine for dielectric target detection through a wall

Progress In Electromagnetics Research Letters

Volumn 23, Issue , 2011, Pages 119-128

  Wang, F F ^a   Zhang, Y R ^a  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FINITE DIFFERENCE TIME DOMAIN METHOD; MAPPING; TARGET TRACKING;

COMPUTATIONAL TIME; DIELECTRIC PARAMETERS; DIELECTRIC TARGETS; FINITE-DIFFERENCE TIME-DOMAIN SIMULATION; NUMERICAL EXPERIMENTS; PROPAGATION EFFECT; TRAINING AND TESTING; TRAINING PROCESS;

SUPPORT VECTOR MACHINES;

EID: 79957798310     PISSN: 19376480     EISSN: None     Source Type: Journal    
DOI: 10.2528/PIERL11031106     Document Type: Article

References (20)

1. Ferris, D. D. and N. C. Currie, "Survey of current technologies for through-the-wall surveillance (TWS)," Proceedings of SPIE, 1999.
2. Baranoski, E. J., "Through-wall imaging: Historical perspective and future directions," Journal of the Franklin Institute-Engineering and Applied Mathematics, Vol. 345, 556-569, 2008.
3. Ahmad, F., G. J. Frazer, S. A. Kassam, and M. G. Amin, "Design and implementation of near-field, wideband synthetic aperture beamformers," IEEE Transactions on Aerospace and Electronic Systems, Vol. 40, 206-220, 2004.
4. Ahmad, F., M. G. Amin, and S. A. Kassam, "Synthetic aperture beamformer for imaging through a dielectric wall," IEEE Transactions on Aerospace and Electronic Systems, Vol. 41, 271-283, 2005.
5. Wang, G. Y. and M. G. Amin, "Imaging through unknown walls using different standoff distances," IEEE Transactions on Signal Processing, Vol. 54, 4015-4025, 2006.
6. Ahmad, F., M. G. Amin, and G. Mandapati, "Autofocusing of through-the-wall radar imagery under unknown wall characteristics," IEEE Transactions on Image Processing, Vol. 16, 1785-1795, 2007.
7. Soldovieri, F. and R. Solimene, "Through-wall imaging via a linear inverse scattering algorithm," IEEE Geoscience and Remote Sensing Letters, Vol. 4, 513-517, 2007.
8. Song, L. P., C. Yu, and Q. H. Liu, "Through-wall imaging (TWI) by radar: 2-D tomographic results and analyses," IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, 2793-2798, 2005.
9. Dehmollaian, M. and K. Sarabandi, "Refocusing through building walls using synthetic aperture radar," IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, 1589-1599, 2008.
10. Li, L. L., W. J. Zhang, and F. Li, "A novel autofocusing approach for real-time through-wall imaging under unknown wall characteristics," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, 423-431, 2010.
11. Zhang, W., A. Hoorfar, and L. Li, "Through-the-wall target localization with time reversal music method," Progress In Electromagnetics Research, Vol. 106, 75-89, 2010.
12. Bermani, E., A. Boni, S. Caorsi, and A. Massa, "An innovative real-time technique for buried object detection," IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, 927-931, 2003.
13. Bermani, E., A. Boni, S. Caorsi, M. Donelli, and A. Massa, "A multi-source strategy based on a learning-by-examples technique for buried object detection," Progress In Electromagnetics Research, Vol. 48, 185-200, 2004.
14. Bermani, E., A. Boni, A. Kerhet, and A. Massa, "Kernels evaluation of SVM-based estimators for inverse scattering problems," Progress In Electromagnetics Research, Vol. 53, 167-188, 2005.
15. Zhang, Q. H., B. X. Xiao, and G. Q. Zhu, "Inverse scattering by dielectric circular cylinder using support vector machine approach," Microwave and Optical Technology Letters, Vol. 49, 372-375, 2007.
16. Vapnik, V. N., The Nature of Statistical Learning Theory, Springer Verlag, 2000.
17. Smola, A. J. and B. Scholkopf, "A tutorial on support vector regression," Statistics and Computing, Vol. 14, 199-222, 2004.
18. Kim, Y. and H. Ling, "Through-wall human tracking with multiple Doppler sensors using an artificial neural network," IEEE Transactions on Antennas and Propagation, Vol. 57, 2116-2122, 2009.
19. Du, K. L., M. N. S. Swamy, and I. Ebrary, Neural Networks in a Softcomputing Framework, Springer, 2006.
20. Massa, A., A. Boni, and M. Donelli, "A classification approach based on SVM for electromagnetic subsurface sensing," IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, 2084-2093, 2005.