volume | PIER Journals

Abstract

We propose a method to recognize targets by using the signature of jet engine modulation (JEM) generated by the rotating blades in jet engines. The method combines time-frequency transform, 2-dimensional (2D) principal component analysis, and a nearest-neighbor classifier. In simulationsusing five propellers composed of isotropic point scatterers,the proposed method was insensitive to signal-to-noise SNR variation; this insensitivity wasa result of the effective 2D time-frequency feature and the noise suppression by the matchedfilter. In simulations using a reduced training database, the result was most sensitive to variation in the rotation velocity of the blades.

1. Chen, V. C., F. Li, S. S. Ho, and H. Wechsler, "Micro-Doppler effect in radar: Phenomenon, model, and simulation study," IEEE Trans. Aerosp. Electron. Syst., Vol. 42, No. 1, 2-21, Jan. 2006.
doi:10.1109/TAES.2006.1603402 Google Scholar

2. Tait, P., Introduction to Radar Target Recognition, IET, 2005.
doi:10.1049/PBRA018E

3. Thayaparan, T., S. Abrol, E. Riseborough, L. Stankovic, D. Lamothe, and G. Duff, "Analysis of radar micro-Doppler signatures from experimental helicopter and human data," IET Radar Sonar Navig., Vol. 1, No. 4, 289-299, Aug. 2007.
doi:10.1049/iet-rsn:20060103 Google Scholar

4. Li, J. and H. Ling, "Application of adaptive chirplet representation for ISAR feature extraction from targets with rotating parts," Proc. Inst. Elect. Eng. Radar Sonar Navig., Vol. 150, No. 4, 284-291, Aug. 2003.
doi:10.1049/ip-rsn:20030729 Google Scholar

5. Stankovic, L., I. Djurovic, and T. Thayaparan, "Separation of target rigid body and micro-Doppler effects in ISAR imaging," IEEE Trans. Aerosp. Electron. Syst., Vol. 42, No. 4, 1496-1506, Oct. 2006.
doi:10.1109/TAES.2006.314590 Google Scholar

6. Zhang, Q., T. S. Yeo, H. S. Tan, and Y. Luo, "Imaging of a moving target with rotating parts based on the Hough transform," IEEE Trans. Geosci. Remote Sens., Vol. 46, No. 1, 291-299, Jan. 2008.
doi:10.1109/TGRS.2007.907105 Google Scholar

7. Ghaleb, A., L. Vignaud, and J. M. Nicolas, "Micro-Doppler analysis of wheels and pedestrians in ISAR imaging," IET Signal Process., Vol. 2, No. 3, 301-311, Sep. 2008.
doi:10.1049/iet-spr:20070113 Google Scholar

8. Kim, Y. and H. Ling, "Human activity classification based on micro-Doppler signatures using a support vector machine," IEEE Trans. Geosci. Remote Sens., Vol. 47, No. 5, 1328-1336, May 2009.
doi:10.1109/TGRS.2009.2012849 Google Scholar

9. Jung, J. H., U. Lee, S. H. Kim, and S. H. Park, "Micro-Doppler analysis of Korean offshore wind turbine on the L-band radar," Progress In Electromagnetics Research, Vol. 143, 87-104, 2010. Google Scholar

10. Jung, J. H., K. T. Kim, S. H. Kim, and S. H. Park, "Micro-Doppler extraction and analysis of the ballistic missile using RDA based on the real flight scenario," Progress In Electromagnetics Research M, Vol. 37, 83-93, 2014.
doi:10.2528/PIERM14040804 Google Scholar

11. Liu, L., D. Mclernon, M. Ghogho, W. Hu, and J. Huang, "Ballistic missile detection via micro-Doppler frequency estimation from radar return," Digital Signal Processing, Vol. 22, 87-95, 2012.
doi:10.1016/j.dsp.2011.10.009 Google Scholar

12. Mahafza, B. R., Radar Systems Analysis and Design Using MATLAB, CRC Press LLC, 2000.
doi:10.1201/9781584888543

13. Qian, S., Time-freqency and Wavelet Transforms, Prentice Hall PTR, 2002.

14. Yang, J., D. Zhang, A. F. Frangi, and J.-Y. Yang, "Two-dimensional PCA: A new approach to appearance-based face representation and recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 26, 131-137, Jan. 2004.
doi:10.1109/TPAMI.2004.1261097 Google Scholar

15. Golub, G. H. and C. F. Van Loan, Matrix Computations, The Johns Hopkins University Press, 1996.

16. Zyweck, A., "Preprocessing issues in high resolution radar target classification,", Ph.D. Thesis, University of Adelaide, Australia, 1995. Google Scholar

17. Han, S.-K., H.-T. Kim, S.-H. Park, and K.-T. Kim, "Efficient radar target recognition using a combination of range profile and time-frequency analysis," Progress In Electromagnetics Research, Vol. 108, 131-140, 2010.
doi:10.2528/PIER10071601 Google Scholar

18. Park, S.-H., M.-G. Joo, and K.-T. Kim, "Construction of ISAR training database for automatic target recognition," Journal of Electromagnetic Waves and Applications, Vol. 25, No. 11-12, 1493-1503 , 2011.
doi:10.1163/156939311797164909 Google Scholar

Prof. Sang-Hong Park