High resolution angle-doppler imaging for MTI radar

IEEE Transactions on Aerospace and Electronic Systems

Volumn 46, Issue 3, 2010, Pages 1544-1556

  Li, Jian ^a   Zhu, Xumin ^a   Stoica, Petre ^b   Rangaswamy, Muralidhar ^c  

^a University of Florida   (United States)

^b UPPSALA UNIVERSITY   (Sweden)

^c AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE APPROACH; CLUTTER STATISTICS; DETECTION APPROACH; DOPPLER IMAGES; DOPPLER IMAGING; HIGH RESOLUTION; MOVING TARGET INDICATION; NON-PARAMETRIC; NUMERICAL EXAMPLE; PRIOR KNOWLEDGE; TRAINING DATA; WEIGHTED LEAST SQUARES;

RADAR IMAGING;

DOPPLER EFFECT;

EID: 77955626844     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2010.5545209     Document Type: Article

References (41)

1. Ward, J. Space-time adaptive processing for airborne radar. MIT Lincoln Laboratory, Technical Report 1015, Dec. 1994.
2. Klemm, R. Principles of Space-Time Adaptive Processing. London: IEE Press, 2002.
3. Guerci, J. R. Space-Time Adaptive Processing for Radar.Norwood, MA: Artech House, 2003.
4. Guerci, J. R. and Baranoski, E. J. Knowledge-aided adaptive radar at DARPA. IEEE Signal Processing Magazine, (Jan. 2006), 41-50.
5. Verly, J. G., Lapierre, F. D., Himed, B., Klemm, R., and Lesturgie, M. (Guest Eds.) Special issue on radar space-time adaptive processing. EURASIP Journal on Applied Signal Processing, 2006 (2006).
6. Rabideau, D. J. and Steinhardt, A. O. Improved adaptive clutter cancellation through data-adaptive training. IEEE Transactions on Aerospace and Electronic Systems, 35 (July 1999), 879-891.
7. Stoica, P., Li, J., Zhu, X., and Guerci, J. R. On using a priori knowledge in space-time adaptive processing. IEEE Transactions on Signal Processing, 56 (June 2008), 2598-2602.
8. Page, D. and Owirka, G. Knowledge-aided STAP processing for ground moving target indication radar using multilook data. EURASIP Journal on Applied Signal Processing, 2006, Article ID 74838, 2006.
9. Gurram, P. R. and Goodman, N. A. Spectral-domain covariance estimation with a priori knowledge. IEEE Transactions on Aerospace and Electronic Systems, 42 (July 2006), 1010-1020.
10. Bergin, J. S., Teixeira, C. M., Techau, P. M., and Guerci, J. R. Improved clutter mitigation performance using knowledge-aided space-time adaptive processing. IEEE Transactions on Aerospace and Electronic Systems, 42 (July 2006), 997-1009.
11. Melvin, W. L. and Showman, G. A. An approach to knowledge-aided covariance estimation. IEEE Transactions on Aerospace and Electronic Systems, 42 (July 2006), 1021-1042.
12. Blunt, S. D., Gerlach, K., and Rangaswamy, M. STAP using knowledge-aided covariance estimation and the FRACTA algorithm. IEEE Transactions on Aerospace and Electronic Systems, 42 (July 2006), 1043-1057.
13. Adve, R., Hale, T. B., and Wicks, M. C. Knowledge based adaptive processing for ground moving target indication. Digital Signal Processing, 17 (Mar. 2007), 495-514.
14. Wicks, M. C., Rangaswamy, M., Adve, R., and Hale, T. B. Space-time adaptive processing: A knowledge based perspective of airborne radar. IEEE Signal Processing Magazine, 23 (Jan. 2006), 51-61.
15. Conte, E., De Maio, A., Farina, A., and Foglia, G. Design and analysis of a knowledge-aided radar detector for Doppler processing. IEEE Transactions on Aerospace and Electronic Systems, 42 (July 2006), 1058-1079.
16. Wang, H. and Cai, L. On adaptive spatial-temporal processing for airborne radar systems. IEEE Transactions on Aerospace and Electronic Systems, 30 (July 1994), 660-670.
17. Sarkar, T. K., Park, S., Koh, J., and Schneible, R. A. A deterministic least squares approach to adaptive antennas. The Annals of Statistics, 6 (July 1996), 185-194.
18. Sarkar, T. K., Wang, H., Park, S., Adve, R., Koh, J., Kim, K., Zhang, Y., Wicks, M. C., and Brown, R. D. A deterministic least-squares approach to space-time adaptive processing. IEEE Transactions on Antennas and Propagation, 49 (Jan. 2001), 91-103.
19. Aboutanios, E. and Mulgrew, B. A STAP algorithm for radar target detection in heterogeneous environments. Presented at the IEEE Signal Processing Workshop on Statistical Signal and Array Processing, Bordeaux, France, July 2005.
20. Maria, S. and Fuchs, J. Application of the global matched filter to STAP data: An efficient algorithmic approach. Presented at the IEEE Conference on Acoustic, Speech and Signal Processing, Toulouse, France, May 2006.
21. Rangaswamy, M. and Michels, J. A parametric multichannel detection algorithm for correlated non-Gaussian random processes. In Proceedings of the IEEE National Radar Conference, Syracuse, NY, May 1997, 49-354.
22. Swindlehurst, A. L. and Stoica, P. Maximum likelihood methods in radar array signal processing. Proceedings of the IEEE, 86 (Feb. 1998), 421-441.
23. Roman, J. R., Rangaswamy, M., Davis, D. W., Zhang, Q., Himed, B., and Michels, J. H. Parametric adaptive matched filter for airborne radar applications. IEEE Transactions on Aerospace and Electronics Systems, 36 (Apr. 2000), 677-692.
24. Legters, G. R. and Guerci, J. R. Physics-based airborne GMTI radar signal processing. In Proceedings of the IEEE Radar Conference, vol.6, Philadelphia, PA, Apr. 2004, 283-288.
25. Sohn, K. J., Li, H., and Himed, B. Parametric GLRT for multichannel adaptive signal detection. In Proceedings of the 4th IEEE Workshop on Sensor Array and Multi-channel Processing, Waltham, MA, July 2006, 399-403. (Pubitemid 46949223)
26. Sohn, K. J., Li, H., and Himed, B. Parametric GLRT for multichannel adaptive signal detection. IEEE Transactions on Signal Processing, 55 (Nov. 2007), 5351-5360. (Pubitemid 350130746)
27. Donoho, D. L. and Elad, M. Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization. Proceedings of the National Academy of Sciences, 100 (Mar. 2003), 2197-2202.
28. Mallat, S. and Zhang, Z. Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41, 12 (1993), 3397-3415.
29. Natarajan, B. K. Sparse approximation solutions to linear systems. SIAM Journal of Computing, 24 (1995), 227-234.
30. Cotter, S. F., Adler, R., Rao, R. D., and Kreutz-Delgado, K. Forward sequential algorithms for best basis selection. IEE Proceedings of Vision, Image and Signal Processing, 146 (Oct. 1999), 235-244.
31. Tibshirani, R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society, 58, 1 (1996), 267-288.
32. Chen, S. S., Donoho, D. L., and Saunders, M. A. Atomic decomposition by basis pursuit. SIAM Journal Scientific Computing, 20, 1 (1998), 33-61.
33. Gorodnitsky, I. F. and Rao, B. D. Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm. IEEE Transactions on Signal Processing, 45, 3 (1997), 600-616.
34. Tipping, M. E. Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1 (2001), 211-244.
35. Wipf, D. P. and Rao, B. D. Sparse Bayesian learning for basis selection. SIAM Journal on Scientific Computing, 52, 8 (2004), 2153-2164.
36. Figueiredo, M. A. T. Adaptive sparseness for supervised learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 9 (2003), 1150-1159.
37. Cotter, S. F., Rao, B. D., Kjersti, E., and Kreutz-Delgado, K. Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Transactions on Signal Processing, 53, 7 (2005), 2477-2488.
38. Wipf, D. P. and Rao, B. D. An empirical Bayesian strategy for solving the simultaneous sparse approximation problem. IEEE Transactions on Signal Processing, 55, 7 (2007), 3704-3716.
39. Malioutov, D. M. A sparse signal reconstruction perspective for source localization with sensor arrays. Master's thesis, MIT, July 2003.
40. Malioutov, D. M., Cetin, M., and Willsky, A. S. A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Transactions on Signal Processing, 53, 8 (2005), 3010-3022.
41. Li, J. and Stoica, P. Efficient mixed-spectrum estimation with applications to target feature extraction. IEEE Transactions on Signal Processing, 44 (Feb. 1996), 281-295.