2008-09-29
Adaptive Genetic Algorithm Based Source Identification with Near-Field Scanning Method
By
Progress In Electromagnetics Research B, Vol. 9, 215-230, 2008
Abstract
With the global search method of adaptive genetic algorithm (GA), an improved methodology is proposed to identify the equivalent radiating dipoles of real sources on substrates such as printed circuit boards (PCB) and then to regenerate the radiating far field. This methodology is based on a set of elemental electric- and magnetic dipoles which model the real sources. The numbers, positions and orientations as well as the elevations of each dipole are positioned by adaptive GA based on the comparison between the simulated and measured magnetic field. The methodology provides a possible way to identify the radiating source of planar circuits with ground plane.
Citation
Bing Liu, Lotfi Beghou, Lionel Pichon, and Francois 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
References

1. Kralicek, P., W. John, and H. Garbe, "Modeling electromagnetic emission of integrated circuits for system analysis," DATA Conf., Munich, Germany, Mar. 2001.        Google Scholar

2. Petre, P. and T. K. Sarkar, "Planar near-field to far-field transformation using an equivalent magnetic current approach," IEEE Trans. Antennas Propag., Vol. 40, No. 11, 1348-1355, Nov. 1992.
doi:10.1109/8.202712        Google Scholar

3. Taaghol, A. and T. K. Sarkar, "Near-field to near/far-field transformation for arbitrary near-field geometry utilizing an equivalent magnetic current," IEEE Trans. Electromag. Compat., Vol. 38, No. 3, 536-542, Aug. 1996.
doi:10.1109/15.536088        Google Scholar

4. Sarkar, T. K. and A. Taaghol, "Near-field to near/far-field transformation for arbitrary near-field geometry utilizing an equivalent electric current and MOM," IEEE Trans. Electromagn. Compat., Vol. 47, No. 3, 566-573, Mar. 1999.        Google Scholar

5. Sijher, T. S. and A. A. Kishk, "Antenna modeling by infinitesimal dipoles using genetic algorithms," Progress In Electromagnetics Research, Vol. 52, 225-254, 2005.
doi:10.2528/PIER04081801        Google Scholar

6. Vives-Gilabert, Y., C. Arcambal, A. Louis, F. de Daran, P. Eudeline, and B. Mazari, "Modeling magnetic radiations of electronic circuits using near-field scanning method," IEEE Trans. Electromagn. Compat., Vol. 49, No. 2, 391-400, 2007.
doi:10.1109/TEMC.2006.890168        Google Scholar

7. Regue, J.-R., M. Ribo, J. M. Garrell, and A. Martin, "A genetic algorithm based method for source identification and far-field radiated emissions prediction from near-field measurements for PCB characterization," IEEE Trans. Electromagn. Compat., Vol. 43, No. 4, 520-530, Nov. 2001.
doi:10.1109/15.974631        Google Scholar

8. de Daran, F., J. Chollet-Ricard, F. Lafon, and O. Maurice, "Prediction of the field radiated at one meter from PCB's and microprocessors from near EM field cartography," Proc. IEEE Int. Symp. Electromagn. Compat., Vol. 1, 479-482, Istanbul, Turkey, May 2003.        Google Scholar

9. Gen, M. and R. Cheng, Genetic Algorithms and Engineering Optimization, Ch. 1, John Wiley & Sons, 2000.

10. Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, 3rd edition, Part 1, Springer-Verlag, 1996.

11. Kitano, H., "Empirical studies on the speed of convergence of the neural network training by genetic algorithm," Proc. of AAAI-90, 1990.        Google Scholar

12. Qi, X. and F. Palmieri, "Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space part II: Analysis of the diversification role of crossover," IEEE Trans. Neural Netw., Vol. 5, No. 1, Jan. 1994.        Google Scholar

13. Donelli, M., S. Caorsi, F. D. Natale, et al. "A versatile enhanced genetic algorithm for planar array design," J. of Electromagn. Waves and Appl., Vol. 18, No. 11, 1533-1548, 2004.
doi:10.1163/1569393042954893        Google Scholar

14. Lucci, L., R. Nesti, G. Pelosi, et al. "Phase centre optimization in profiled corrugated circular horns with parallel genetic algorithms," Progress In Electromagnetics Research, Vol. 46, 127-142, 2004.
doi:10.2528/PIER03090501        Google Scholar

15. Nyobe, E. N. and E. Pemha, "Propagation of a laser beam through a plane and free turbulent heated air flow: Determination of the stochastic characteristics of the laser bean random direction and some experimental results," Progress In Electromagnetics Research, Vol. 53, 31-53, 2005.
doi:10.2528/PIER04073001        Google Scholar

16. Chen, X., K. Huang, and X. B. Xu, "Microwave imaging of buried inhomogeneous objects using parallel genetic algorithm combined with FDTD method," Progress In Electromagnetics Research, Vol. 53, 283-298, 2005.
doi:10.2528/PIER04102902        Google Scholar

17. Lu, Y. Q. and J. Y. Li, "Optimization of broadband top-load antenna using micro-genetic algorithm," J. of Electromagn. Waves and Appl., Vol. 20, No. 6, 793-801, 2006.
doi:10.1163/156939306776143370        Google Scholar

18. Tian, Y. B. and J. Qian, "Ultra-conveniently finding multiple solutions of complex transcendental equations based on genetic algorithm," J. of Elecgtromagn. Waves and Appl., Vol. 20, No. 4, 475-488, 2006.
doi:10.1163/156939306776117090        Google Scholar

19. Lu, Y. Q. and J. Y. Li, "Optimization of broadband topload antenna using micro-genetic algorithm," J. of Elecgtromagn. Waves and Appl., Vol. 20, No. 6, 793-801, 2006.
doi:10.1163/156939306776143370        Google Scholar

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

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

22. Bereau, E., "Measurement bench for electromagnetic near field characterization of power electronics devices," IEEE Symp. on Embedded EMC, 2emc, Rouen, 2005.        Google Scholar

23. Baudry, D., A. Louis, and B. Mazari, "Characterization of the open-ended coaxial probe used for near-field measurements in EMC applications," Progress In Electromagnetics Research, Vol. 60, 311-333, 2006.
doi:10.2528/PIER05112501        Google Scholar

24. Aouine, O., C. Labarre, F. Costa, P. Baudesson, and J. Ecrabey, "Identification of the radiated sources inside a variable speed drive from near-field measurements," EMC 2007, EMC Methodology Session 6,5E, Oct. 19, 2007.        Google Scholar

25. Aouine, O., C. Labarre, and F. Costa, "Measurement and modeling of the magnetic near field radiated by a buck chopper," IEEE Trans. EMC, Vol. 50, No. 2, 445-449, May 2008.        Google Scholar