Progress In Electromagnetics Research
ISSN: 1070-4698, E-ISSN: 1559-8985
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By J. Shi, K.-F. Liao, and X.-L. Zhang

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During the experimental data processing, we find that corner reflectors cannot be focused properly using 3-D SAR with a moving transmitter due to the phase reversal phenomenon based on the phase history analysis, i.e. the phases at different observation angles might shift rad, and the echoes cancel, rather than accumulate, to each other. To overcome this defect, 3-D SAR with fixed transmitter is designed. Since the geometry of the transmitter and targets remains unchanged during the observation session, the coherence of echoes is well preserved. The mechanism of 3-D SAR with fixed transmitter can accurately be explained using the Stratton-Chu equation. For perfect conductor, the 3-D image is related to the electric current density. For general dielectric medium, the 3-D image is related to the electric current density, magnetic current density and directional vector of scatterer. Experimental results show that one can focus corner reflectors and cavity-shaped objects by fixing the transmitter, which might fail for the traditional 3-D SAR because of the phase reversal phenomenon.

J. Shi, K.-F. Liao, and X.-L. Zhang, "Three-Dimensional SAR with Fixed Transmitter and its Scattering Explanation," Progress In Electromagnetics Research, Vol. 133, 285-307, 2013.

1. Chan, T.-K., Y. Kuga, and A. Ishimaru, "Experimental studies on circular SAR imaging in clutter using angular correlation function technique," IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 5, Part 1, 2192-2197, 1999.

2. Bryant, M. L., L. L. Gostin, and M. Soumekh, "3-D E-CSAR imaging of a T-72 tank and synthesis of its SAR reconstructions," IEEE Trans. on Aerospace and Electronic Systems, Vol. 39, No. 1, 211-227, 2003.

3. Wei╬▓, M. and J. H. G. Ender, A 3D imaging radar for small unmanned airplanes --- ARTINO, Proceedings of EURAD 2005 Conference, 229-232, Oct. 2005.

4. Ertin, E., C. D. Austin, S. Sharma, R. L. Moses, and L. C. Potter, GOTCHA experience report: Three-dimensional SAR imaging with complete circular apertures, Proceedings of SPIE --- The International Society for Optical Engineering, v 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 2007.

5. Sheen, D., D. McMakin, and T. Hall, "Near-field three-dimensional radar imaging techniques and applications," Applied Optics, Vol. 49, No. 19, E83-E93, Jul. 2010.

6. Mohammadpoor, M., R. S. A. Raja Abdullah, A. Ismail, and A. F. Abas, "A circular synthetic aperture radar for on-the-ground object detection," Progress In Electromagnetics Research, Vol. 122, 269-292, 2012.

7. Qi, Y., W. Tan, Y. Wang, W. Hong, and Y. Wu, "3D bistatic omega-K imaging algorithm for near range microwave imaging systems with bistatic planar scanning geometry," Progress In Electromagnetics Research, Vol. 121, 409-431, 2011.

8. Ren, B. L., S. Y. Li, and H. J. Sun, "Modified cylindrical holographic algorithm for three-dimensional millimeter-wave imaging," Progress In Electromagnetics Research, Vol. 128, 519-537, 2012.

9. Liu, Q., W. Hong, and W.-X. Tan, "Efficient geosynchronous circular SAR raw data simulation of extended 3-D scenes," Progress In Electromagnetics Research, Vol. 127, 335-350, 2012.

10. Austin, C. D., E. Ertin, and R. L. Moses, "Sparse signal methods for 3-D radar imaging," IEEE Journal of Selected Topics in Signal Processing, Vol. 5, No. 3, 408-423, Jun. 2011.

11. Zhuge, X. and A. G. Yarovoy, "A sparse aperture MIMO-SAR-based UWB imaging system for concealed weapon detection," IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 1, Part 2, 509-518, Jan. 2011.

12. Shi, J., X. Zhang, J. Yang, and C. Wen, "APC trajectory design for \one-active" linear-array three-dimensional imaging SAR," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 3, 1470-1486, Mar. 2010.

13. Soumekh, M., Synthetic Aperture Radar Signal Processing with MATLAB Algorithms, 1-261, Wiley-Interscience Inc., 1999.

14. Knott, E. F., J. F. Shaeffer, and M. T. Tuley, Radar Cross Section, Its Prediction, Measurement and Reduction, 47-187, Artech House, Inc., Dedham, MA, 1985.

15. Sheppard, C. J. R., A. Choudhury, and J. Gannaway, "Electromagnetic field near the focus of wide-angular lens and mirror systems," Microwaves, Optics and Acoustics, Vol. 1, No. 4, 129-132, Jul. 1977.

16. Odendaal, J. W. and J. Joubert, "Radar cross section measurements using near-field radar imaging," IEEE Transactions on Instrumentation and Measurement, Vol. 45, No. 6, 948-954, Dec. 1996.

17. Jackson, J. D., Classical Electrodynamics, 3rd Ed., 302-306, John Wiley & Sons Inc., 1999.

18. Shi, J., X. Zhang, J. Yang, and Y. Wang, "Surface-tracing-based LASAR 3-D imaging method via multiresolution approximation," IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 11, Part 2, 3719-3730, Nov. 2008.

19. Liao, K.-F., X.-L. Zhang, and J. Shi, "FAST 3-D microwave imaging method based on subaperture approximation," Progress In Electromagnetics Research, Vol. 126, 333-353, 2012.

20. Bruckstein, A. M., D. L. Donoho, and M. Elad, "From sparse solutions of systems of equations to sparse modeling of signals and images," SIAM Review, Vol. 51, No. 1, 34-81, 2009.

21. Shi, J., X. Zhang, J. Yang, and X. Gao, "Signal processing for microwave array imaging: TDC and sparse recovery," IEEE Transactions on Geoscience and Remote Sensing, Vol. 99, 1-15, 2012.

22. Wei, S.-J., X.-L. Zhang, J. Shi, "Linear array SAR imaging via compressed sensing," Progress In Electromagnetics Research, Vol. 117, 299-319, 2011.

23. Skriver, H., F. Mattia, G. Satalino, A. Balenzano, V. R. N. Pauwels, N. E. C. Verhoest, and M. Davidson, "Crop classification using short-revisit multitemporal SAR data," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 4, No. 2, 423-431, 2011.

24. Lardeux, C., P.-L. Frison, C. Tison, J.-C. Souyris, B. Stoll, B. Fruneau, and J.-P. Rudant, "Classification of tropical vegetation using multifrequency partial SAR polarimetry," IEEE Geoscience and Remote Sensing Letters, Vol. 8, No. 1, 133-137, 2011.

25. Prakash, R., D. Singh, and N. P. Pathak, "The effect of soil texture in soil moisture retrieval for specular scattering at C-band," Progress In Electromagnetics Research, Vol. 108, 177-204, 2010.

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