Sparsity-aware space-time adaptive processing algorithms with L1-norm regularisation for airborne radar

IET Signal Processing

Volumn 6, Issue 5, 2012, Pages 413-423

  Yang, Z ^a   De Lamare, R C ^b   Li, X ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AIRBORNE RADARS; COMPUTATIONAL COSTS; CONJUGATE GRADIENT; DATA CUBE; FILTER WEIGHTS; L1 NORM; LOW-COMPLEXITY; MATRIX INVERSIONS; MINIMUM VARIANCE; NUMBER OF SAMPLES; OPTIMAL FILTER; PHASED ARRAY ANTENNAS; PHASED-ARRAY RADAR APPLICATIONS; REGULARISATION; SAMPLE MATRIX INVERSIONS; SIGNAL TO INTERFERENCE PLUS NOISE RATIO;

CONJUGATE GRADIENT METHOD; OPTIMIZATION; SPACE TIME ADAPTIVE PROCESSING;

ALGORITHMS;

EID: 84866142967     PISSN: 17519675     EISSN: 17519683     Source Type: Journal    
DOI: 10.1049/iet-spr.2011.0254     Document Type: Article

References (45)

1. Brennan, L.E., and Reed, L.S.: 'Theory of adaptive radar', IEEE Trans. Aerosp. Electron. Syst., 1973, 9, (2), p. 237-25210.1109/TAES.1973.309792 0018-9251
2. 'Space-time adaptive processing for airborne radar', technical, 1015, December, 1994 MA vol e88-a.
3. Guerci, J.R.: 'Space-time adaptive processing for radar', (Artech House 2003)
4. Melvin, W.L.: 'A stap overview', IEEE Aerosp. Electron. Syst. Mag., 2004, 19, (1), p. 19-3510.1109/MAES.2004.1263229
5. Carlson, B.D.: 'Covariance matrix estimation errors and diagonal loading in adaptive arrays', IEEE Trans. Aerosp. Electron. Syst., 1988, 24, (4), p. 397-40110.1109/7.7181 0018-9251
6. Peckham, C.D., Haimovich, A.M., Ayoub, T.F., Goldstein, J.S., and Reed, I.S.: 'Reduced-rank STAP performance analysis', IEEE Trans. Aerosp. Electron. Syst., 2000, 36, (2), p. 664-67610.1109/7.845257 0018-9251
7. Pados, D.A., and Karystinos, G.N.: 'An iterative algorithm for the computation of the MVDR filter', IEEE Trans. Sig. Proc., 2001, 49, (2), p. 290-30010.1109/78.902111 1053-587X
8. Pados, D.A., Karystinos, G.N., Batalama, S.N., and Matyjas, J.D.: 'Short-data-record adaptive detection', Proc. IEEE Radar Conf., April 2007, p. 357-361
9. Goldstein, J.S., and Reed, I.S.: 'Theory of partially adaptive radar', IEEE Trans. Aerosp. Electron. Syst., 1997, 33, (4), p. 1309-132510.1109/7.625132 0018-9251
10. Goldstein, J.S., Reed, I.S., and Zulch, P.A.: 'Multistage partially adaptive STAP CFAR detection algorithm', IEEE Trans. Aerosp. Electron. Syst., 1999, 35, (2), p. 645-66110.1109/7.766945 0018-9251
11. Scharf, L.L., Chong, E.K.P., Zoltowski, M.D., Goldstein, J.S., and Reed, I.S.: 'Subspace expansion and the equivalence of conjugate direction and multistage Wiener filters', IEEE Trans. Sig. Proc., 2008, 56, (10), p. 5013-501910.1109/TSP.2008.928511 1053-587X
12. Honig, M.L., and Goldstein, J.S.: 'Adaptive reduced-rank interference suppression based on the multistage Wiener filter', IEEE Trans. Commun., 2002, 50, (6), p. 986-99410.1109/TCOMM.2002.1010618 0090-6778
13. Chang, P.S., and Willson Jr., A.N.: 'Analysis of conjugate gradient algorithms for adaptive filtering', IEEE Trans. Sig. Proc., 2000, 48, (2), p. 409-4181053-587X
14. Jiang, C., Li, H., and Rangaswamy, M.: 'Conjugate gradient parametric adaptive matched filter', Proc. IEEE Radar Conf., 2010, p. 740-745
15. Wang, L., and de Lamare, R.C.: 'Constrained adaptive filtering algorithms based on conjugate gradient techniques for beamforming', IET Sig. Proc., 2010, 4, (6), p. 686-69710.1049/iet-spr.2009.0243
16. Fa, R., de Lamare, R.C., and Wang, L.: 'Reduced-rank STAP schemes for airborne radar based on switched joint interpolation, decimation and filtering algorithm', IEEE Trans. Sig. Proc., 2010, 58, (8), p. 4182-419410.1109/TSP.2010.2048212 1053-587X
17. Fa, R., and de Lamare, R.C.: 'Knowledge-aided reduced-rank STAP for MIMO radar based on based on joint iterative constrained optimization of adaptive filters with multiple constraints', Proc. IEEE Int. Conf. Acoust. Speech and Sig. Proc., 2010, p. 2762-2765
18. Fa, R., de Lamare, R.C., and Nascimento, V.H.: 'Knowledge-aided STAP algorithm using convex combination of inverse covariance matrices for heterogeneous clutter', Proc. IEEE Int. Conf. Acoust., Speech and Sig. Proc., September 2010, p. 2742-2745
19. de Lamare, R.C., Wang, L., and Fa, R.: 'Adaptive reduced-rank LCMV beamforming algorithm based on joint iterative optimization of filters: design and analysis', Elsevier J. Signal Process., 2010, 90, (2), p. 640-65210.1016/j.sigpro.2009.08.002
20. de Lamare, R.C., and Sampaio-Neto, R.: 'Adaptive reduced-rank processing based on joint and iterative interpolation, decimation, and filtering', IEEE Trans. Signal Process., 2009, 57, (7), p. 2503-251410.1109/TSP.2009.2018641 1053-587X
21. de Lamare, R.C., Haardt, M., and Sampaio-Neto, R.: 'Blind adaptive constrained reduced-rank parameter estimation based on constant modulus design for CDMA interference suppression', IEEE Trans. Signal Process., 2008, 56, (6), p. 2470-248210.1109/TSP.2007.913161 1053-587X
22. Melvin, W.L., and Showman, G.A.: 'An approach to knowledge-aided covariance estimation', IEEE Trans. Aerosp. Electron. Syst., 2006, 42, (3), p. 1021-104210.1109/TAES.2006.248216 0018-9251
23. Guerci, J.R., and Baranoski, E.J.: 'Knowledge-aided adaptive radar at DARPA: an overview', IEEE Sig. Proc. Mag., 2006, 23, (1), p. 41-5010.1109/MSP.2006.1593336
24. Maria, S., and Fuchs, J.J.: 'Application of the global matched filter to STAP data an efficient algorithmic approach', Proc. IEEE Int. Conf. Acoust. Speech and Sig. Proc., 2006, p. 14-19
25. Parker, J.T., and Potter, L.C.: 'A Bayesian perspective on sparse regularization for STAP post-processing', Proc. IEEE Radar Conf., May 2010, p. 1471-1475
26. Selesnick, I.W., Pillai, S.U., Li, K.Y., and Himed, B.: 'Angle-Doppler processing using sparse regularization', Proc. IEEE Int. Conf. Acoust. Speech and Sig. Proc., 2010, p. 2750-2753
27. Sun, K., Zhang, H., Li, G., Meng, H., and Wang, X.: 'A novel STAP algorithm using sparse recovery technique', IGARSS, 2009, p. 336-33910.1109/IGARSS.2009.5417664
28. Sun, K., Zhang, H., Li, G., Meng, H., and Wang, X.: 'Airborne radar STAP using sparse recovery of clutter spectrum', 2010. Available at: http://arxiv.org/abs/1008.4185
29. Sun, K., Meng, H., Wang, Y., and Wang, X.: 'Direct data domain STAP using sparse representation of clutter spectrum', Signal Proc., 2011, 91, (9), p. 2222-223610.1016/j.sigpro.2011.04.006
30. Sun, K., Meng, H., Lapierre, F.D., and Wang, X.: 'Registration-based compensation using sparse representation in conformal-array STAP', Signal Proc., 2011, 91, (10), p. 2268-227610.1016/j.sigpro.2011.04.008
31. Yang, Z., Liu, Z., Li, X., and Nie, L.: 'Performance analysis of STAP algorithms based on fast sparse recovery techniques', Prog. Electromagn. Res. B, 2012, 41, p. 251-268
32. Yang, Z., Li, X., and Wang, H.: 'Space-time adaptive processing based on weighted regularized sparse recovery', Prog. Electromagn. Res. B, 2012, 42, p. 245-262
33. Scott, I., and Mulgrew, B.: 'Sparse LCMV beamformer design for suppression of ground clutter in airborne radar', IEEE Trans. Signal Proc., 1995, 43, (12), p. 2843-28511053-587X
34. Yang, Z., de Lamare, R.C., and Li, X.: 'L1 regularized STAP algorithm with a generalized sidelobe canceler architecture for airborne radar', Proc. IEEE Workshop on Stat. Sig. Proc., Nice, France 2011, p. 329-332
35. Yang, Z., de Lamare, R.C., and Li, X.: 'L1-regularized STAP algorithms with a generalized sidelobe canceler architecture for airborne radar', IEEE Trans. Signal Process., 2012, 60, (2), p. 674-6861053-587X
36. Melvin, W.L.: 'Space-time adaptive radar performance in heterogeneous clutter', IEEE Trans. Aerosp. Electron. Syst., 2000, 36, (2), p. 621-63310.1109/7.845251 0018-9251
37. Wang, H., and Cai, L.: 'On adaptive spartial-temporal processing for airborne surveillance radar systems', IEEE Trans. Aeros. Electron. Syst., 1994, 30, (3), p. 660-6700018-9251
38. Angelosante, D., Bazerque, J.A., and Giannakis, G.B.: 'Online adaptive estimation of sparse signals: where RLS meets the l1-norm', IEEE Trans. Signal Proc., 2010, 58, (7), p. 3436-34461053-587X
39. Elad, M.: 'Why simple shrinkage is still relevant for redundant representations?', IEEE Trans. Inf. Theory, 2006, 52, (12), p. 5559-556910.1109/TIT.2006.885522 0018-9448
40. Zibulevsky, M., and Elad, M.: 'L1-L2 optimization in signal and image processing', IEEE Signal Proc. Mag., 2010, 27, (3), p. 76-8810.1109/MSP.2010.936023
41. Jin, J., Gu, Y., and Mei, S.: 'A stochastic gradient approach on compressive sensing signal reconstruction based on adaptive filtering framework', IEEE J. Sel. Top. Signal Proc., 2010, 4, (2), p. 409-42010.1109/JSTSP.2009.2039173
42. Van Trees, H.L.: 'Optimal array processing, part IV of detection, estimation and modulation theory', (John Wiley & Sons, Inc., New York 2002)
43. Klemm, R.: 'Introduction to space-time adaptive processing', Proc. IEE Colloquium on Space-Time Adaptive Proc., 1998
44. Titi, G.W., and Marshall, D.F.: 'The ARPA/NAVY mountaintop program: adaptive signal processing for airborne early warning radar', Proc. IEEE Int. Conf. Acoust. Speech and Signal, May 1996, p. 1165-1168
45. http://spib.rice.edu/spib/mtn_top.html