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2009-08-26
Enhanced Range Alignment Using a Combination of a Polynomial and Gaussian Basis Functions
By
Progress In Electromagnetics Research, Vol. 95, 381-396, 2009
Abstract
For the inverse synthetic aperture radar (ISAR) imaging of a target at a long range, range alignment using the existing polynomial method brings about poor results because the flight trajectory changes depending on the initial position, and the motion parameters, meaning the polynomial cannot fit the trajectory. This paper proposes an improved range alignment method that models the trajectory using a combination of a polynomial and Gaussian basis functions. Initial parameters of the polynomial and Gaussian basis functions are determined by fitting the proposed model to the center of mass curve of the range profile history using the least square curve-fitting algorithm, and the optimum value is found using particle swarm optimization. This method is computationally more efficient and preserves the image quality.
Citation
Sang-Hong Park, Hyo-Tae Kim, and Kyung-Tae Kim, "Enhanced Range Alignment Using a Combination of a Polynomial and Gaussian Basis Functions," Progress In Electromagnetics Research, Vol. 95, 381-396, 2009.
doi:10.2528/PIER09062602
References

1. Chen, C. C. and H. C. Andrews, "Target-motion-induced radar imaging," IEEE Trans. Aerospace and Electronic Systems, Vol. 16, No. 1, 2-14, Jan. 1980.
doi:10.1109/TAES.1980.308873

2. Park, S.-H., K.-K. Park, J.-H. Jung, H.-T. Kim, and K.-T. Kim, "ISAR imaging of multiple targets using edge detection and Hough transform," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 2--3, 365-373, 2008.
doi:10.1163/156939308784160622

3. Park, S.-H., K.-K. Park, J.-H. Jung, H.-T. Kim, and K.-T. Kim, "Construction of training database based on high frequency RCS prediction methods for ATR," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 5--6, 693-703, 2008.
doi:10.1163/156939308784159390

4. Ma, C. Z., T. S. Yeo, H. S. Tan, and G. Lu, "Interferometric ISAR imaging on squint model," Progress In Electromagnetics Research Letters, Vol. 2, 125-133, 2008.
doi:10.2528/PIERL07111805

5. Ausherman, D. A., A. Kozma, J. L. Walker, H. M. Jones, and E. C. Poggio, "Development in radar imaging," IEEE Trans. Aerosp. Electron. Syst., Vol. 20, No. 4, 363-400, Jul. 1984.
doi:10.1109/TAES.1984.4502060

6. Xue, W. and X.-W. Sun, "Target detection of vehicle volume detecting radar based on Wigner-Hough transform," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 11, 1513-1523, 2007.
doi:10.1163/156939307782000334

7. Menon, M. M., E. R. Boureau, and P. J. Kolodzy, "An automatic ship classification system for ISAR imagery," The MIT Lincoln Laboratory Journal, Vol. 6, No. 2, 289-308, 1993.

8. Jung, J.-H. and H.-T. Kim, "Comparison of four feature extraction approaches based on Fisher's linear discriminant criterion in radar target recognition," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 2, 251-265, 2007.
doi:10.1163/156939307779378781

9. 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

10. Lim, T. S., V. C. Koo, H.-T. Ewe, and H.-T. Chuah, "A SAR autofocus algorithm based on particle swarm optimization," Progress In Electromagnetics Research B, Vol. 1, 159-176, 2008.
doi:10.2528/PIERB07102501

11. Lim, T. S., C.-S. Lim, V. C. Koo, H.-T. Ewe, and H.-T. Chuah, "Autofocus algorithms performance evaluations using an integrated SAR product simulator and processor," Progress In Electromagnetics Research B, Vol. 3, 315-329, 2008.
doi:10.2528/PIERB07122101

12. Li, X., G. Liu, and J. Ni, "Autofocusing of ISAR images based on entropy minimization," IEEE Trans. Aerosp. Electron. Syst., Vol. 35, No. 4, 1240-1251, Oct. 1999.
doi:10.1109/7.805442

13. Wang, J. and D. Kasilingam, "Global range alignment for ISAR," IEEE Trans. Aerosp. Electron. Syst., Vol. 39, No. 1, 351-357, Jan. 2003.
doi:10.1109/TAES.2003.1188917

14. Wang, J. and X. Liu, "Improved global range alignment for ISAR," IEEE Trans. Aerosp. Electron. Syst., Vol. 43, No. 3, 1070-1075, Jul. 2007.
doi:10.1109/TAES.2007.4383594

15. Berizzi, F. and G. Cosini, "Autofocusing of inverse synthetic radar images using contrast optimization," IEEE Trans. Aerosp. Electron. Syst., Vol. 32, No. 32, 1191-1197, Jul. 1996.

16. Wang, J., X. Liu, and Z. Zhou, "Minimum-entropy phase adjustment for ISAR," Proceedings of Radar, Sonar and Navigation, Vol. 151, No. 4, 203-209, Aug. 2004.
doi:10.1049/ip-rsn:20040692

17. Qian, S. and D. Chen, "Signal representation using adaptive normalized Gaussian functions," Signal Processing, Vol. 36, No. 1, 1-11, Mar. 1994.
doi:10.1016/0165-1684(94)90174-0

18. George, A., F. Seber, and C. J. Wild, "Nonlinear Regression," Wiley-Interscience, 2003.

19. Su, D. Y., D.-M. Fu, and D. Yu, "Genetic algorithms and method of moments for the design of PIFAS," Progress In Electromagnetis Research Letters, Vol. 1, 9-18, 2008.
doi:10.2528/PIERL07110603

20. Razavi, S. M. J. and M. Khalaj-Amirhosseini, "Optimization an anechoic chamber with ray-tracing and genetic algorithms," Progress In Electromagnetics Research B, Vol. 9, 53-68, 2008.
doi:10.2528/PIERB08062902

21. Liu, B., L. Beghou, L. Pichon, and F. Costa, "Adaptive genetic algorithm based source identification with near-field scanning method," Progress In Electromagnetics Research B, Vol. 9, 215-230, 2008.
doi:10.2528/PIERB08070904

22. Chen, H.-T., G.-Q. Zhu, and S.-Y. He, "Using genetic algorithm to reduce the radar cross section of three-dimensional anisotropic impedance object," Progress In Electromagnetics Research B, Vol. 9, 231-248, 2008.
doi:10.2528/PIERB08080202

23. Ngo Nyobe, E. and E. Pemha, "Shape optimization using genetic algorithms and laser beam propagation for the determination of the diffusion cofficient in a hot turbulent jet of air," Progress In Electromagnetics Research B, Vol. 4, 211-221, 2008.
doi:10.2528/PIERB08010605

24. Cengiz, Y. and H. Tokat, "Linear antenna array design with use of genetic, memetic and tabu search optimization algorithms," Progress In Electromagnetics Research C, Vol. 1, 63-72, 2008.
doi:10.2528/PIERC08010205

25. Rostami, A. and A. Yazdanpanah-Goharrizi, "Hybridization of neural networks and genetic algorithms for identification of complex bragg gratings ," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 5--6, 643-664, 2008.
doi:10.1163/156939308784159598

26. Hassan, R., B. Cohanim, and O. Weck, "A comparison of particle swarm optimization and the genetic algorithm," 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynami & Materials Conference, Apr. 18--21, 2005.

27. Li, J.-F., B.-H. Sun, Q.-Z. Liu, and L. Gong, "PSO-based fast optimization algorithm for broadband array antenna by using the cubic spline interpolation," Progress In Electromagnetis Research Letters, Vol. 4, 173-181, 2008.
doi:10.2528/PIERL08100407

28. Panduro, M. A., C. A. Brizuela, L. I. Balderas, and D. A. Acosta, "A comparison of genetic algorithms, particle swarm optimization and the differential evolution method for the design of scannable circular antenna arrays," Progress In Electromagnetics Research B, Vol. 13, 415-426, 2008.

29. Lu, Z. B., A. Zhang, and X. Y. Hou, "Pattern synthesis of cylindrical conformal array by the modified particle swarm optimization algorithm," Progress In Electromagnetics Research, Vol. 79, 415-426, 2008.
doi:10.2528/PIER07103004

30. Liu, X. F., Y. C. Jiao, and F. S. Zhang, "Conformal array antenna design using modified particle swarm optimization," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 2--3, 207-218, 2008.
doi:10.1163/156939308784160820

31. Park, S.-H., H.-T. Kim, and K.-T. Kim, "Stepped-frequency ISAR motion compensation using particle swarm optimization with an island model," Progress In Electromagnetics Research, Vol. 85, 25-37, 2008.
doi:10.2528/PIER08082107