STAP using knowledge-aided covariance estimation and the FRACTA algorithm

IEEE Transactions on Aerospace and Electronic Systems

Volumn 42, Issue 3, 2006, Pages 1043-1056

  Blunt, Shannon D ^a,b   Gerlach, Karl ^a,c   Rangaswamy, Muralidhar ^a,d  

^a IEEE

^b UNIVERSITY OF KANSAS   (United States)

^c NAVAL RESEARCH LABORATORY   (United States)

^d AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE-AIDED COVARIANCE ESTIMATION (KACE); PULSE REPETITION FREQUENCY (PRF);

ALGORITHMS; CLUTTER (INFORMATION THEORY); COMPUTER SIMULATION; COVARIANCE MATRIX; KNOWLEDGE ENGINEERING; ROBUSTNESS (CONTROL SYSTEMS);

SPACE TIME ADAPTIVE PROCESSING;

EID: 33947158022     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2006.248197     Document Type: Article

References (37)

1. Gerlach, K., and Picciolo, M. L. Robust STAP using RC. In Proceedings of IEEE National Radar Conference, Huntsville, AL, May 5-8, 2003, 244-251.
2. Gerlach, K., Blunt, S. D., and Picciolo, M. L. Robust adaptive matched filtering using the FRACTA algorithm. IEEE Transactions on Aerospace and Electronic Systems, 30, 3 (July 2004), 929-945.
3. Blunt, S. D., and Gerlach, K. Efficient RC of robust STAP using the FRACTA algorithm. In Proceedings of IEEE International Conference on Radar, Adelaide, Australia, Sept. 3-5, 2003, 57-61.
4. Blunt, S. D., and Gerlach, K. Efficient robust adaptive matched filtering using the FRACTA algorithm: Results from KASSPER I. To be published in IEEE Transactions on Aerospace and Electronic Systems.
5. Gerlach, K., and Picciolo, M. L. SINR improvement in airborne/spaceborne STAP using a priori platform knowledge. In Proceedings of IEEE SAM Conference, Aug. 2002, 548-552.
6. Gerlach, K., and Picciolo, M. L. Airborne/spacebased radar STAP using a structured covariance matrix. IEEE Transactions on Aerospace and Electronic Systems, 39, 1 (Jan. 2003), 269-281.
7. Blunt, S. D., Gerlach, K., and Rangaswamy, M. The enhanced FRACTA algorithm with knowledge-aided covariance estimation. Presented at the IEEE Sensor Array & Multichannel Signal Processing Workshop, July 2004.
8. Blunt, S. D., and Gerlach, K. Efficient robust AMF using the enhanced FRACTA algorithm: Results from KASSPER I & II. In Proceedings of IEEE Radar Conference, Philadelphia, PA, Apr. 26-29, 2004, 372-377.
9. Bergin, J. S., and Techau, P. M. High-fidelity site-specific radar simulation: KASSPER '02 workshop datacube. Technical note ISL-SCRD-TR-02-105, ISL, Vienna, VA, May 2002.
10. Bergin, J. S., Techau, P. M., and Chaney, G. High-fidelity site-specific radar simulation: KASSPER data set 2. ISL Technical note ISL-SCRD-TR-02-106, Vienna, VA, Oct. 2002.
11. Maher, J., Callahan, M., and Lynch, D. Effects of clutter modeling in evaluating STAP processing for space-based radars. In Proceedings of IEEE International Radar Conference, 2000, 565-570.
12. Babu, B. N. S., Torres, J. A., and Melvin, W. L. Processing and evaluation of multichannel airborne radar measurements (MCARM) measured data. In Proceedings of IEEE International Symposium on Phased Array Systems and Technology, Oct. 1996, 395-399.
13. Brennan, L. E., and Reed, I. S. Theory of adaptive radar. IEEE Transactions on Aerospace and Electronic Systems, AES-9, 2 (Mar. 1973), 237-252.
14. Reed, I. S., Mallet, J., and Brennan, L. Rapid convergence rate in adaptive arrays. IEEE Transactions on Aerospace and Electronic Systems, AES-10 (Nov. 1974), 853-863.
15. Carlson, B. D. Covariance matrix estimation errors and diagonal loading in adaptive arrays. IEEE Transactions on Aerospace and Electronic Systems, 24, 4 (July 1988), 397-401.
16. Kirsteins, I. P., and Tufts, D. W. Adaptive detection using low rank approximations to a data matrix. IEEE Transactions on Aerospace and Electronic Systems, 30, 1 (Jan. 1994), 55-67.
17. Haimovich, A. The eigencanceler: Adaptive radar by eigenanalysis methods. IEEE Transactions on Aerospace and Electronic Systems, 32, 2 (Apr. 1996), 532-542.
18. Goldstein, J. S., Reed, I. S., and Scharf, L. L. A multistage representation of the Wiener filter based on orthogonal projections. IEEE Transactions on Information Theory, 44, 7 (Nov. 1998), 2943-2959.
19. Guerci, J. R., Goldstein, J. S., and Reed, I. S. Optimal and adaptive reduced-rank STAR IEEE Transactions on Aerospace and Electronic Systems, 36, 2 (Apr. 2000), 647-663.
20. Steiner, M. J., and Gerlach, K. Fast converging adaptive canceller for a structured covariance matrix. IEEE Transactions on Aerospace and Electronic Systems, 36, 4 (Oct. 2000), 1115-1126.
21. DiPietro, R. C. Extended factored space-time processing for airborne radar systems. In Record of the Twenty-Sixth Asilomar Conference on Signals, Systems, and Computers, vol. 1, Oct. 26-28, 1992, 425-430.
22. Adve, R. S., Hale, T. B., and Wicks, M. C. Practical joint domain localised adaptive processing in homogeneous and nonhomogeneous environments. 2. Nonhomogeneous environments. IEE Proceedings, Pt. F, 147, 2 (Apr. 2000), 66-74.
23. Ward, J. Space-time adaptive processing for airborne radar. Technical report ESC-TR-94-109, MIT Lincoln Lab, Dec. 1994.
24. Kraut, S., Scharf, L. L., and McWhorter, L. T. Adaptive subspace detectors. IEEE Transactions on Signal Proceedings, 49, 1 (Jan. 2001), 1-16.
25. Melvin, W. L., Showman, G. A., and Guerci, J. R. A knowledge-aided GMTI detection architecture. In Proceedings of IEEE Radar Conference, Apr. 26-29, 2004, 301-306.
26. Bergin, J. S., Teixeira, C. M., Techau, P. M., and Guerci, J. R. STAP with knowledge-aided data prewhitening. In Proceedings of IEEE Radar Conference, Apr. 26-29, 2004, 289-294.
27. Letgers, G. R., and Guerci, J. R. Physics-based airborne GMTI radar signal processing. In Proceedings of IEEE Radar Conference, Apr. 26-29, 2004, 283-288.
28. Bergin, J. S., Techau, P. M., Melvin, W. L., and Guerci, J. R. GMTI STAP in target-rich environments: Site-specific analysis. In Proceedings of IEEE Radar Conference, Apr. 22-25, 2002, 391-396.
29. Antonik, P., Schuman, H., Li, P., Melvin, W. L., and Wicks, M. Knowledge-based space-time adaptive processing. In Proceedings of IEEE Radar Conference, May 13-15, 1997, 372-377.
30. Goodman, N. A., and Gurram, P. R. STAP training through knowledge-aided predictive modeling. In Proceedings of IEEE Radar Conference, Apr. 26-29, 2004, 388-393.
31. Moon, T. K., and Stirling, W. C. Mathematical Methods and Algorithms for Signal Processing, Upper Saddle River, NJ: Prentice-Hall, 2000, 258-261.
32. Blunt, S. D., and Gerlach, K. Robust adaptive matched filtering using the FRACTA algorithm: Results from RLSTAP and KASSPER high-fidelity clutter models. Technical report 10,059, U.S. Naval Research Laboratory, Washington, D.C.
33. Barton, D. K. (Ed.) Radar Clutter (Radars, vol. 5). Norwood, MA: Artech House, 1975.
34. Billingsley, J. B. Low-Angle Radar Land Clutter: Measurements and Empirical Models. Norwich, NY: William Andrew Publishing, 2002.
35. Hiemstra, J. D. Colored diagonal loading. In Proceedings of IEEE National Radar Conference, Apr. 22-25, 2002, 386-390.
36. Teixeira, C. M., Bergin, J. S., and Techau, P. M. Adaptive thresholding of non-homogeneity detection for STAP applications. In Proceedings of IEEE National Radar Conference, Apr. 26-29, 2004, 355-360.
37. Li, P., Schuman, H., Michels, J. H., and Himed, B. Space-time adaptive processing (STAP) with limited sample support. In Proceedings of IEEE National Radar Conference, Apr. 26-29, 2004, 366-371.