Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2010, Article ID 973718, 6 pages
http://dx.doi.org/10.1155/2010/973718
Research Article

A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing

1National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
2Communication and Information Engineering Collage, Xi'an University of Science and Technology, Xi'an 710054, China
3Department of Communication and Information Engineering, Guilin University of Electronic Technology, Guilin 541004, China

Received 3 August 2010; Revised 22 November 2010; Accepted 16 December 2010

Academic Editor: Tamal Bose

Copyright © 2010 Yang Zhiwei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. E. Brennan and L. S. Reed, “Theory of adaptive radar,” IEEE Transactions on Aerospace and Electronic Systems, vol. 9, no. 2, pp. 237–252, 1973. View at Google Scholar · View at Scopus
  2. J. Ward, “Space-time adaptive processing for airborne radar systems,” Tech. Rep. 1015, DTIC AD-A293032, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Mass, USA, 1994. View at Google Scholar
  3. R. Klemm, Principles of Space-Time Adaptive Processing, Institute of Electrical Engineering, London, UK, 2002.
  4. J. R. Guerci, Space-Time Adaptive Processing for Radar, Artech House, Norwood, Mass, USA, 2003.
  5. W. L. Melvin, “A STAP overview,” IEEE Aerospace and Electronic Systems Magazine, vol. 19, no. 1, pp. 19–35, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. R. C. DiPietro, “Extended factored space-time processing for airborne radar,” in Proceedings of the 26th Asilomar Conference on Signals, Systems, and Computers, pp. 425–430, Pacific Grove, Calif, USA, October 1992.
  7. Z. Bao, G. Liao et al., “Adaptive spatial-temporal processing for airborne radars,” Chinese Journal of Electronics, vol. 2, no. 1, pp. 1–7, 1993. View at Google Scholar
  8. H. Wang and L. Cai, “On adaptive spatial-temporal processing for airborne surveillance radar systems,” IEEE Transactions on Aerospace and Electronic Systems, vol. 30, no. 3, pp. 660–670, 1994. View at Publisher · View at Google Scholar · View at Scopus
  9. R. D. Brown, R. A. Schneible, M. C. Wicks, H. Wang, and Y. Zhang, “STAP for clutter suppression with sum and difference beams,” IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 2, pp. 634–646, 2000. View at Publisher · View at Google Scholar · View at Scopus
  10. J. R. Guerci, J. S. Goldstein, and I. S. Reed, “Optimal and adaptive reduced-rank STAP,” IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 2, pp. 647–663, 2000. View at Publisher · View at Google Scholar · View at Scopus
  11. R. C. de Lamare and R. Sampaio-Neto, “Adaptive reduced-rank processing based on joint and iterative interpolation, decimation, and filtering,” IEEE Transactions on Signal Processing, vol. 57, no. 7, pp. 2503–2514, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. J. R. Roman, M. Rangaswamy, D. W. Davis, Q. Zhang, B. Himed, and J. H. Michels, “Parametric adaptive matched filter for airborne radar applications,” IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 2, pp. 677–692, 2000. View at Publisher · View at Google Scholar · View at Scopus
  13. P. Parker and A. Swindlehurst, “Space-time autoregressive filtering for matched subspace STAP,” IEEE Transactions on Aerospace and Electronic Systems, vol. 39, no. 2, pp. 510–520, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. K. J. Sohn, H. Li, and B. Himed, “Parametric Rao test for multichannel adaptive signal detection,” IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 920–933, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. K. J. Sohn, H. Li, and B. Himed, “Parametric GLRT for multichannel adaptive signal detection,” IEEE Transactions on Signal Processing, vol. 55, no. 11, pp. 5351–5360, 2007. View at Publisher · View at Google Scholar · View at Scopus
  16. S. De Greve, P. Ries, F. D. Lapierre, and J. G. Verly, “Framework and taxonomy for radar space-time adaptive processing (STAP) methods,” IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 1084–1099, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. D. J. Rabideau, “Fast, rank adaptive subspace tracking and applications,” IEEE Transactions on Signal Processing, vol. 44, no. 9, pp. 2229–2244, 1996. View at Google Scholar · View at Scopus
  18. B. Yang, “Projection approximation subspace tracking,” IEEE Transactions on Signal Processing, vol. 43, no. 1, pp. 95–107, 1995. View at Publisher · View at Google Scholar · View at Scopus
  19. P. Strobach, “Low-rank adaptive filters,” IEEE Transactions on Signal Processing, vol. 44, no. 12, pp. 2932–2947, 1996. View at Google Scholar · View at Scopus
  20. X. G. Doukopoulos and G. V. Moustakides, “Fast and stable subspace tracking,” IEEE Transactions on Signal Processing, vol. 56, no. 4, pp. 1452–1465, 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. R. Badeau, G. Richard, and B. David, “Fast and stable YAST algorithm for principal and minor subspace tracking,” IEEE Transactions on Signal Processing, vol. 56, no. 8 I, pp. 3437–3446, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. R. Badeau, B. David, and G. Richard, “Fast approximated power iteration subspace tracking,” IEEE Transactions on Signal Processing, vol. 53, no. 8, pp. 2931–2941, 2005. View at Google Scholar
  23. K. Abed-Meraim, A. Chkeif, and Y. Hua, “Fast orthonormal PAST algorithm,” IEEE Signal Processing Letters, vol. 7, no. 3, pp. 60–62, 2000. View at Publisher · View at Google Scholar · View at Scopus
  24. H. Akaike, “A new look at the statistical model identification,” IEEE Transactions on Automatic Control, vol. 19, no. 6, pp. 716–723, 1974. View at Google Scholar · View at Scopus
  25. J. Rissanen, “Modeling by shortest data description,” Automatica, vol. 14, no. 5, pp. 465–471, 1978. View at Google Scholar · View at Scopus