Compressed sensing of mono-static and multi-static SAR

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7337, Issue , 2009, Pages

  Stojanovic, Ivana ^a   Karl, W Clem ^a   Cetin, Mujdat ^b  

^a BOSTON UNIVERSITY   (United States)

^b SABANCI UNIVERSITY   (Turkey)

Author keywords

Mono static; Multi static; Mutual coherence; SAR; Sparse reconstruction

Indexed keywords

MONO-STATIC; MULTI-STATIC; MUTUAL COHERENCE; SAR; SPARSE RECONSTRUCTION;

IMAGE CLASSIFICATION; IMAGING SYSTEMS; PHOTOACOUSTIC EFFECT; RADAR; RADAR ANTENNAS; RADAR IMAGING; REPAIR; SIGNAL RECONSTRUCTION; SYNTHETIC APERTURE RADAR; TRACKING RADAR;

SYNTHETIC APERTURES;

EID: 69749087580     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.818808     Document Type: Conference Paper

References (17)

1. Donoho, D. L., "Compressed sensing," IEEE Trans. Inform. Theory 52(4), 1289-1306 (2006).
2. Candes, E. J., Romberg, J., and Tao, T., "Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inform. Theory 52(2), 489-509 (2006).
3. Lustig, M., Donoho, D., and Pauly, J. M., "Sparse MRI: The application of compressed sensing for rapid MR imaging," Magnetic Resonance in Medicine 9999 (2007).
4. Jakowatz, C. V., Wahl, D. E., Eichel, P. S., Ghiglian, D. C., and Thompson, P. A., [Spotlight-mode Synthetic Aperture Radar: a Signal Processing Approach], Kluwer Academic Publishers, Norwell, MA (1996).
5. Cetin, M., [Feature-Enhanced Synthetic Aperture Radar Imaging], Ph.D. Thesis, Boston University (2001).
6. Herman, M. A. and Strohmer, T., "High-resolution radar via compressed sensing," IEEE Trans. Signal Processing (to appear) (2009).
7. Yoon, Y.-S. and Amin, M. G., "Compressed sensing technique for high-resolution radar imaging," Signal Processing, Sensor Fusion, and Target Recognition XVII, SPIE 6968(1) (2008).
8. Baraniuk, R. and Steeghs, P., "Compressive radar imaging," IEEE Radar Conference ., 128-133 (2007).
9. Bhattacharya, S., Blumensath, T., Mulgrew, B., and Davies, M., "Fast encoding of synthetic aperture radar raw data using compressed sensing," Statistical Signal Processing, IEEE/SP 14th Workshop on , 448-452 (2007).
10. Donoho, D. L. and Elad, M., "Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization," Proceedings of the National Academy of Science 100(5), 2197-2202 (2003).
11. Chen, S. S., Donoho, D. L., and Saunders, M. A., "Atomic decomposition by basis pursuit," SIAM Journal on Scientific Computing 20, 33-61 (1998).
12. Candes, E. and Romberg, J., "Sparsity and incoherence in compressive sampling," Inverse Problems 23(3), 969-985 (2007).
13. Donoho, D. and Huo, X., "Uncertainty principles and ideal atomic decomposition," IEEE Trans. Inform. Theory 47(7), 2845-2862 (2001).
14. Elad, M., "Optimized projections for compressed sensing," IEEE Trans. Signal Processing 55(12), 5695-5702 (2007).
15. Rihaczek, A., [Principles High-Resolution Radar], IEEE Press, New York (1988).
16. Himed, B., Bascom, H., Clancy, J., and Wicks, M. C., "Tomography of moving targets (TMT)," in [Sensors, Systems, and Next-Generation Satellites], Fujisada, H., Lurie, J. B., andWeber, K., eds., Sensors, Systems, and Next-Generation Satellites V 4540(1), 608-619, Proc. SPIE (2001).
17. Munson, D.C., J. and Sanz, J., "Image reconstruction from frequency-offset Fourier data," Proceedings of the IEEE 72(6), 661-669 (1984).