Space-time adaptive processing based on weighted regularized sparse recovery

Progress In Electromagnetics Research B

Volumn , Issue 42, 2012, Pages 245-262

  Yang, Z C ^a   Li, X ^a   Wang, H Q ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONDENSED MATTER PHYSICS; RADIATION;

CORRESPONDING WEIGHTS; DIRECT DATA DOMAIN; FOURIER SPECTRA; LIMITED SNAPSHOTS; RANGE BINS; SPARSE RECOVERY; STAP ALGORITHMS; WEIGHTED L1 NORM;

SPACE TIME ADAPTIVE PROCESSING;

EID: 84865021663     PISSN: 19376472     EISSN: None     Source Type: Journal    
DOI: 10.2528/PIERB12051804     Document Type: Article

References (20)

1. Ward, J., "Space-time adaptive processing for airborne radar," Technical Report 1015, MIT Lincoln laboratory, Lexington, MAvol, Dec. 1994.
2. Klemm, R., Applications of Space-time Adaptive Processing, The Institution of Electrical Engineers, London, UK, 2004.
3. Guerci, J. R., Space-time Adaptive Processing for Radar, Artech House, 2003.
4. Gong, Q. Y. and Z. D. Zhu, "Study STAP algorithm on interference target detect under nonhomogeneous environment," Progress In Electromagnetics Research, Vol. 99, 211-224, 2009.
5. Liu, Y. P. and Q. Wan, "Total difference based partial sparse LCMV beamformer," Progress In Electromagnetics Research Letters, Vol. 18, 97-103, 2010.
6. Zhang, Y., Q. Wan, and A. M. Huang, "Localization of narrow band sources in the presence of mutual coupling via sparse solution finding," Progress In Electromagnetics Research, Vol. 86, 243-257, 2008.
7. Yang, M. and G. Zhang, "Compressive sensing based parameter estimation for monostatic MIMO noise radar," Progress In Electromagnetics Research Letters, Vol. 30, 133-143, 2012.
8. Liu Z., X. Wei, and X. Li, "Adaptive clutter suppression for airborne random pulse repetition interval radar based on compressed sensing," Progress In Electromagnetics Research, Vol. 128, 291-311, 2012.
9. Maria, S. and J. J. Fuchs, "Application of the global matched filter to STAP data an efficient algorithmic approach," Proc. IEEE Int. Conf. Acoust. Speech and Signal Process., 14-19, 2006.
10. Selesnick, I. W., S. U. Pillai, K. Y. Li, and B. Himed, "Angle-doppler processing using sparse regularization," Proc. IEEE Int. Conf. Acoust. Speech and Signal Process., 2750-2753, 2010.
11. Parker, J. T. and L. C. Potter, "A Bayesian perspective on sparse regularization for STAP post-processing," Proc. IEEE Radar Conf., 1471-1475, May 2010.
12. Li, J., X. Zhu, P. Stoica, and M. Rangaswamy, "High resolution angle-Doppler imaging for MTI radar," IEEE Trans. Aerosp. Electron. Syst., Vol. 46, No. 3, 1544-1556, Jul. 2010.
13. Sun, K., H. Zhang, G. Li, H. Meng, and X. Wang, "A novel STAP algorithm using sparse recovery technique," Proc. IGARSS, 336-339, 2009.
14. Yang, Z., Z. Liu, X. Li, and L. Nie, "Performance analysis of STAP algorithms based on fast sparse recovery techniques," Progress In Electromagnetics Research B, Vol. 41, 251-268, 2012.
15. Sun, K., H. Meng, Y. Wang, and X. Wang, "Direct data domain STAP using sparse representation of clutter spectrum," Signal Process., Vol. 91, No. 9, 2222-2236, 2011.
16. 1-regularized STAP algorithms with a generalized sidelobe canceler architecture for airborne radar," IEEE Trans. Signal Process., Vol. 60, No. 2, 674-686, 2012.
17. Yang, Z., R. C. de Lamare, and X. Li, "Sparsity-aware STAP algorithms for airborne radar based on conjugate gradient techniques," Proc. Sensor Signal Process. for Defence Conf., London, UK, 2011.
18. 1 minimization," J. Fourier Anal. Applicat., Vol. 14, Nos. 5-6, 877-905, 2008.
19. Xu, X., X. Wei, and Z. Ye, "DOA estimation based on sparse signal recovery utilizing weighted l1-norm penalty," IEEE Signal Process. Letters, Vol. 19, No. 3, 155-158, 2012.
20. http://www.stanford.edu/boyd/cvx.