A two-distribution compounded statistical model for radar HRRP target recognition

IEEE Transactions on Signal Processing

Volumn 54, Issue 6 I, 2006, Pages 2226-2238

  Du, Lan ^a   Liu, Hongwei ^a,b   Bao, Zheng ^a   Zhang, Junying ^a,c  

^a XIDIAN UNIVERSITY   (China)

^b Duke University   (United States)

^c CATHOLIC UNIVERSITY OF AMERICA   (United States)

Author keywords

A two distribution compounded statistical model; Expectation maximization (EM) algorithm; High resolution range profile (HRRP); Radar automatic target recognition (RATR); Rival penalized competitive learning (RPCL)

Indexed keywords

ELECTROMAGNETIC WAVE SCATTERING; GAUSSIAN NOISE (ELECTRONIC); LEARNING ALGORITHMS; MAXIMUM LIKELIHOOD ESTIMATION; SENSITIVITY ANALYSIS; STATISTICAL METHODS;

EXPECTATION-MAXIMIZATION ALGORITHM; HIGH-RESOLUTION RANGE PROFILE; RIVAL PENALIZED COMPETITIVE LEARNING; TWO-DISTRIBUTION COMPOUNDED STATISTICAL MODEL;

RADAR TARGET RECOGNITION;

EID: 33744538338     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2006.873534     Document Type: Article

References (29)

1. R. A. Mitchell and R. Dewall, "Overview of high range resolution radar target identification," presented at the Automatic Target Recognition Working Group, Monterey, CA, 1994.
2. H.-J. Li and S.-H. Yang, "Using range profiles as feature vectors to identify aerospace objects," IEEE Trans. Antennas Propag., vol. 41, no. 3, pp. 261-268, 1993.
3. A. Zyweck and R. E. Bogner, "Radar target classification of commercial aircraft," IEEE Trans. Aerosp. Electron. Syst., vol. 32, no. 2, pp. 598-606, 1996.
4. R. A. Mitchell, "Robust high range resolution radar target identification using a statistic feature based classifier with feature level fusion," Ph.D., Univ. Dayton, Dayton, OH, 1997.
5. S. P. Jacobs, "Automatic target recognition using high-resolution radar range profiles," Ph.D., Washington Univ., St. Louis, MO, 1999.
6. R. Van der Heiden and F. C. A. Groen, "The Box-Cox metric for nearest neighbor classification improvement," Pattern Recog., vol. 30, no. 2, pp. 273-279, 1997.
7. A. K. Shaw, R. Vasgist, and R. Williams, "HRR-ATR using eigen-templates with observation in unknown target scenario," Proc. SPIE, vol. 4053, pp. 467-478, 2000.
8. R. Williams, J. Westerkamp, D. Gross, and A. Palomino, "Automatic target recognition of time critical moving targets 1D high range resolution (HRR) radar," IEEE Aerosp. Electron. Syst. Mag., vol. 15, no. 4, pp. 37-43, 2000.
9. X.-J. Liao, Z. Bao, and M.-D. Xing, "On the aspect sensitivity of high resolution range profiles and its reduction methods," in Rec. IEEE 2000 Int. Radar Conf., Alexandria, VA, May 2000, pp. 310-315.
10. L. Du, H.-W. Liu, and Z. Bao, "Radar HRRP target recognition by the higher-order spectra features," in Proc. IASTED Int. Conf. Appl. Informatics, Innsbruck, Austria, 2004, pp. 627-632.
11. K. T. Kim, D. K. Seo, and H. T. Kim, "Efficient radar target recognition using the MUSIC algorithm and invariant feature," IEEE Trans. Antennas Propag., vol. 50, no. 3, pp. 325-337, 2002.
12. J. Zwart, R. Heiden, S. Gelsema, and F. Groen, "Fast translation invariant classification of HRR range profiles in a zero phase representation," Inst. Elect. Eng. Proc. - Radar Sonar Navig., vol. 150, no. 6, pp. 411-418, 2003.
13. K. Rosenbach and J. Schiller, "Non co-operative air target identification using radar imagery: Identification rate as a function of signal handwidth," in Rec. IEEE 2000 Int. Radar Conf., Alexandria, VA, May 2000, pp. 305-309.
14. D. E. Nelson, J. A. Starzyk, and D. D. Ensley, "Iterated wavelet transformation and signal discrimination for HRR radar target recognition," IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 33, no. 1, pp. 52-57, 2002.
15. X.-J. Liao, P. Runkle, and L. Carin, "Identification of ground targets from sequential high-range-resolution radar signatures," IEEE Trans. Aerosp. Electron. Syst., vol. 38, no. 4, pp. 1230-1242, 2002.
16. H.-W. Liu and Z. Bao, Radar HRR Profiles Recognition Based on SVM With Power-Transformed-Correlation Kernel. Berlin, Germany: Springer-Verlag, 2004, Springer Lecture Notes in Computer Science, pp. 531-536.
17. Y. Shi and X.-D. Zhang, "A Gabor atom network for signal classification with application in radar target recognition," IEEE Trans. Signal Process., vol. 49, no. 12, pp. 2994-3004, Dec. 2001.
18. A. R. Webb, "Gamma mixture models for target recognition," Pattern Recog., vol. 33, pp. 2045-2054, 2000.
19. K. Copsey and A. R. Webb, "Bayesian gamma mixture model approach to radar target recognition," IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 4, pp. 1201-1217, Oct. 2003.
20. W. G. Carrara, R. S. Goodman, and R. M. Majewski, Spotlight Synthetic Aperture Radar - Signal Processing Algorithms. Norwood, MA: Arthech House, 1995.
21. W. Ye, "Study of the inverse synthetic aperture radar imaging and motion compensation," Ph.D., Xidian Univ., Xi'an, China, 1996.
22. L. Xu, A. Krzyzak, and E. Oja, "Rival penalized competitive learning for clustering analysis, RBF net, and curve detection," IEEE Trans. Neural Netw., vol. 4, no. 4, pp. 636-648, Jul. 1993.
23. M. Evans, N. Hastings, and B. Peacock, Statistical Distributions, Second ed. New York: Wiley, 1993.
24. K. Fukunaga, Introduction to Statistical Pattern Recognition, (2nd) ed. Boston, MA: Academic, 1990.
25. M. Skolnik, Introduction to Radar Systems, 2nd ed. New York: McGraw-Hill, 1980.
26. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York: Wiley, 2001.
27. V. N. Vapnik, The Nature of Statistical Learning Theory. Berlin, Germany: Spring-Verlag, 1995.
28. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972.
29. W. Stehwien, "Statistics and correlation properties of high resolution X-band sea clutter," in Rec. 1994 IEEE National Radar Conf., Atlanta, GA, Mar. 1994, pp. 46-51.