In this paper, the ICA (independent component analysis) technique is applied to PCA (principal component analysis) based radar target recognition. The goal is to identify the similarity between the unknown and known targets. The RCS (radar cross section) signals are collected and then processed to serve as the features for target recognition. Initially, the RCS data from targets are collected by angular-diversity technique, i.e., are observed in directions of different elevation and azimuth angles. These RCS data are first processed by the PCA technique to reduce noise, and then further processed by the ICA technique for reliable discrimination. Finally, the identification of targets will be performed by comparing features in the ICA space. The noise effects are also taken into consideration in this study. Simulation results show that the recognition scheme with ICA processing has better ability to discriminate features and to tolerate noises than those without ICA processing. The ICA technique is inherently an approach of high-order statistics and can extract much important information about radar target recognition. This property will make the proposed recognition scheme accurate and reliable. This study will be helpful to many applications of radar target recognition.
1. Hajduch, G., J. M. Le Caillec, and R. Garello, "Airborne high-resolution ISAR imaging of ship targets at sea," IEEE Transactions on Aerospace and Electronic Systems, Vol. 40, No. 1, 378-384, 2004. doi:10.1109/TAES.2004.1292177
2. Tello, M., C. Lopez-Martinez, and J. J. Mallorqui, "A novel algorithm for ship detection in SAR imagery based on the wavelet transform ," IEEE Geoscience and Remote Sensing Letters, Vol. 2, No. 2, 201-205, 2005. doi:10.1109/LGRS.2005.845033
3. Ruck, G. T., D. E. Barrick, W. D. Stuart, and C. K. Krichbaum, Radar Cross Section Handbook, Vol. 1, Plenum, New York, 1970.
4. Lee, K. C., J. S. Ou, and C. W. Huang, "Angular-diversity radar recognition of ships by transformation based approaches --- Including noise effects," Progress In Electromagnetic Research, Vol. 72, 145-158, 2007. doi:10.2528/PIER07030901
5. Moon, T. K. and W. C. Stirling, Mathematical Methods and Algorithms for Signal Processing, Prentice Hall, 2000.
6. HyvÄarinen, A., J. Karhunen, and E. Oja, Independent Component Analysis, John Wiley, 2001.
7. Wang, C. J., B. Y. Wen, Z. G. Ma, W. D. Yan, and X. J. Huang, "Measurement of river surface currents with UHF FMCW radarsystems ," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 3, 375-386. doi:10.1163/156939307779367350
8. Abdelaziz, A. A., "Improving the performance of an antenna array by using radar absorbing cover ," Progress In Electromagnetics Research Letters, Vol. 1, 129-138, 2008. doi:10.2528/PIERL07112503
9. Razevig, V. V., S. I. Ivashov, A. P. Sheyko, I. A. Vasilyev, and A. V. Zhuravlev, "An example of holographic radar using at restoration works of historical building," Progress In Electromagnetics Research Letters, Vol. 1, 173-179, 2008. doi:10.2528/PIERL07120603
10. Hebeish, A. A., M. A. Elgamel, R. A. Abdelhady, and A. A. Abdelaziz, "Factors affecting the performance of the radar absorbant textile materials of different types and structus," Progress In Electromagnetics Research B, Vol. 3, 219-226, 2008. doi:10.2528/PIERB07121702
11. Turhan-Sayan, G., "Real time electromagnetic target classification using a novel feature extraction technique with PCA-based fusion," IEEE Trans. Antennas and Propagation, Vol. 53, No. 2, 766-776, 2005. doi:10.1109/TAP.2004.841326
12. Kim, K. T., D. K. Seo, and H. T. Kim, "Efficient radar target recognition using the MUSIC algorithm and invariant features," IEEE Trans. Antennas and Propagation, Vol. 50, No. 3, 325-337, 2002. doi:10.1109/8.999623
13. Secmen, M. and G. Turhan-Sayan, "Radar target classification method with reduced aspect dependency and improved noise performance using multiple signal classification algorithm ," IET Radar, Sonar and Navigation, Vol. 3, No. 6, 583-595, 2009. doi:10.1049/iet-rsn.2008.0112
14. Wu, M., B. Y. Wen, and H. Zhou, "Ionosheric clutter suppression in HF wave radar," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 10, 1265-1272, 2009. doi:10.1163/156939309789108570
15. Soldovieri, F. and N. Romano, "The mutual interaction between the reconfigurable transmitting and receiving antennas in ground penetrating radar surveys ," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 14/15, 1919-1928, 2008.
16. Yang, M. H., J. Xu, and X. W. Sun, "Velocity error analysis of a K-band dual mode traffic radar," Progress In Electromagnetics Research B, Vol. 10, 105-116, 2008. doi:10.2528/PIERB08091701
17. Yan, S., S. He, Z. P. Nie, and J. Hu, "Simulating wide band radar response from PEC targets using phase extracted basis functions," Progress In Electromagnetics Research B, Vol. 13, 409-431, 2009. doi:10.2528/PIERB09020802
18. Wu, T., X. Tang, and F. Xiao, "Reserch on the coherent phase noise of millimeter-wave doppler radar," Progress In Electromagnetics Research Letters, Vol. 5, 23-34, 2008. doi:10.2528/PIERL08101802
19. Kandar, D., C. K. Sarkar, and R. N. Bera, "Simulation of spread spectrum radar using rake at the receiver end," Progress In Electromagnetics Research Letters, Vol. 7, 35-45, 2009. doi:10.2528/PIERL09011608