Linear double-layered feature extraction (DFE) technique has recently appeared in radar automatic target recognition (RATR). This paper develops this technique to a nonlinear field via parallelizing a series of kernel Fisher discriminant (KFD) units, and proposes a novel kernel-based DFE algorithm, namely, multi-KFD-based linear discriminant analysis (MKFD-LDA). In the proposed method, a multi-KFD (MKFD) parallel algorithm is constructed for feature extraction, and then the projection features on the MKFD subspace are further processed by LDA. Experimental results on radar HRRP databases indicate that, compared with some classical kernel-based methods, the proposed MKFD-LDA not only performs better and more harmonious recognition, but also keeps higher robustness to kernel parameters, lower training computational cost, and competitive noise immunity.
"Radar HRRP Target Recognition Using Multi-Kfd-Based Lda Algorithm," Progress In Electromagnetics Research C,
Vol. 30, 15-26, 2012. doi:10.2528/PIERC11121804
1. Huang, C.-W. and K.-C. Lee, "Application of ICA technique to PCA based radar target recognition," Progress In Electromagnetics Research, Vol. 105, 157-170, 2010. doi:10.2528/PIER10042305
2. Huang, C.-W. and K.-C. Lee, "Frequency-diversity RCS based target recognition with ICA projection," Journal of Electromagnetic Waves and Applications, Vol. 24, No. 17-18, 2547-2559, 2010. doi:10.1163/156939310793675763
3. Lee, K.-C., C.-W. Huang, and M.-C. Fang, "Radar target recognition by projected features of frequency-diversity RCS," Progress In Electromagnetics Research, Vol. 81, 121-133, 2008. doi:10.2528/PIER08010206
4. Lee, K.-C. and J.-S. Ou, "Radar target recognition by using linear discriminant algorithm on angular-diversity RCS," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 14, 2033-2048, 2007. doi:10.1163/156939307783152902
5. Secmen, M., "Radar target classification method with high accuracy and decision speed performance using MUSIC spectrum vectors and PCA projection," Radio Science, Vol. 46, No. 5, 1-9, 2011. doi:10.1029/2011RS004662
6. Turhan-Sayan, G., "Real time electromagnetic target classification using a novel feature extraction technique with PCA-based fusion," IEEE Transactions on Antennas and Propagation, Vol. 53, No. 2, 766-776, 2005. doi:10.1109/TAP.2004.841326
7. Wang, F.-F. and Y.-R. Zhang, "The support vector machine for dielectric target detection through a wall," Progress In Electromagnetics Research Letters, Vol. 23, 119-128, 2011.
8. Hsu, C.-W. and C.-J. Lin, "A comparison of methods for multiclass support vector machines," IEEE Trans. on Neural Networks, Vol. 13, No. 2, 415-425, 2002. doi:10.1109/72.991427
9. Mika, S., G. Rotsch, J. Weston, et al. "Fisher discriminant analysis with kernels," Neural Networks for Signal Processing --- Proceedings of the IEEE Workshop, 41-48, Aug. 23-25, 1999.
10. Baudat, G. and F. Anouar, "Generalized discriminant analysis using a kernel approach," Neural Comput., Vol. 12, No. 10, 2385-2404, 2000. doi:10.1162/089976600300014980
11. Lu, J., K. N. Plataniotis, and A. N. Venetsanopoulos, "Face recognition using kernel direct discriminant analysis algorithms," IEEE Trans. on Neural Networks, Vol. 14, No. 1, 117-126, 2003. doi:10.1109/TNN.2002.806629
12. Liu, H.-L. and W.-L. Yang, "Radar target recognition based on generalized discriminant analysis of QR decomposition," Journal of Infrared and Millimeter Waves, Vol. 26, No. 3, 205-208, 2007.
13. Fu, J.-S. and W.-L. Yang, "KFD-based multiclass synthetical discriminant analysis for radar HRRP recognition," Journal of Electromagnetic Waves and Applications, Vol. 26, No. 2-3, 169-178, 2012.
14. Fu, J., X. Deng, and W. Yang, "Radar HRRP recognition based on discriminant information analysis," WSEAS Trans. on Inf. Sci. Appl., Vol. 8, No. 4, 185-201, 2011.
15. Cheng, B., H. Liu, J. Chai, et al. "Large margin feature weighting method via linear programming," IEEE Trans. on Knowl. Data Eng., Vol. 21, No. 10, 1475-1488, 2009. doi:10.1109/TKDE.2008.238
16. Du, L. , P. Wang, H. Liu, et al. "Bayesian spatiotemporal multitask learning for radar HRRP target recognition," IEEE Trans. on Signal Process., Vol. 59, No. 7, 3182-3196, 2011. doi:10.1109/TSP.2011.2141664
17. Lim, H. and N. H. Myung, "High resolution range profile-jet engine modulation analysis of aircraft models," Journal of lectromagnetic Waves and Applications, Vol. 25, No. 8-9, 1092-1102, 2011. doi:10.1163/156939311795762088
18. Cheng, X. X., H. S. Chen, X. M. Zhang, B. L. Zhang, and B.-I. Wu, "Cloaking a perfectly conducting sphere with rotationally uniaxial nihility media in monostatic radar system," Progress In Electromagnetics Research, Vol. 100, 285-298, 2010. doi:10.2528/PIER09112002
19. Chang, Y.-L., C.-Y. Chiang, and K.-S. Chen, "SAR image simulation with application to target recognition," Progress In Electromagnetics Research, Vol. 119, 35-57, 2011. doi:10.2528/PIER11061507
20. Gorshkov, S. A. , S. P. Leschenko, V. M. Orlenko, et al. Radar Target Backscattering Simulation Software and User's Manual, Artech House, Boston, 2002.
21. Yoldemir, A. B., R. Gurcan, G. B. Kaplan, et al. "Comparative analysis of clutter suppression techniques for landmine detection using ground penetrating radar," Proc. SPIE Int. Soc. Opt. Eng., Vol. 80171, 1-8, Apr. 25-29, 2011.