2008-09-02
Optimization an Anechoic Chamber with Ray-Tracing and Genetic Algorithms
By
Progress In Electromagnetics Research B, Vol. 9, 53-68, 2008
Abstract
Anechoic chambers are used for both emission and immunity testing but the ferrite tiles used to line the inside of the chamber are extremely expensive. This paper describes a method of reducing the number of tiles, whilst ensuring a reliable test environment. In this paper, the ray-tracing method for waves propagation is used for evaluation of the reflectivity level of an anechoic chamber, and genetic algorithms are used. And use genetic algorithms to optimize the layout of ferrite tile absorber in a partially lined enclosure to produce a best performance. The results show that it is possible to cover just 80% of the surface of the enclosure with ferrite absorber and obtain good agreement by fully lined enclosure with an error of less than 3 percent over the whole test points.
Citation
Sayed Razavi, and Mohammad 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
References

1. Emerson, W. H., "Electromagnetic wave absorbers and anechoic chambers through the years," IEEE Transactions on Antennas and Propagation, Vol. 21, No. 4, July 1973.        Google Scholar

2. Marquart, N. P., "Experimental anechoic chamber measurements of a target near an interface," Progress In Electromagnetics Research, Vol. 61, 143-158, 2006.
doi:10.2528/PIER06031003        Google Scholar

3. Kineros, C. and V. Ungvichian, "A low cost conversion of semianechoic chamber to fully anechoic chamber for RF antenna measurements,", USA, 2003.        Google Scholar

4. Bornkessel, C. and W. Wiesbeck, "Numerical analysis and optimization of anechoic chambers for EMC testing," IEEE Trans. Electromagn. Compat., Vol. 38, No. 3, 499-506, August 1996.
doi:10.1109/15.536082        Google Scholar

5. Kim, H. and H. Ling, "Electromagnetic scattering from an inhomogeneous object by ray tracing," IEEE Trans. Antennas Propagat., Vol. 40, 517-525, May 1992.
doi:10.1109/8.142626        Google Scholar

6. Chung, B.-K., C. H. Teh, and H.-T. Chuah, "Modeling of anechoic chamber using a beam-tracing technique," Progress In Electromagnetics Research, Vol. 49, 23-38, 2004.
doi:10.2528/PIER04020601        Google Scholar

7. Jin, K.-S., T.-I. Suh, S.-H. Suk, B.-C. Kim, and H.-T. Kim, "Fast ray tracing using a space-division algorithm for RCS prediction," Journal of Electromagnetic. Waves and Appl., Vol. 20, No. 1, 119-126, 2006.
doi:10.1163/156939306775777341        Google Scholar

8. Wang, N., Y. Zhang, and C.-H. Liang, "Creeping ray-tracing algorithm of UTD method based on nurbs models with the source on surface," Journal of Electromagnetic. Waves and Appl., Vol. 20, No. 14, 1981-1990, 2006.
doi:10.1163/156939306779322602        Google Scholar

9. Liang, C.-H., Z.-L. Liu, and H. Di, "Study on the blockage of electromagnetic rays analytically," Progress In Electromagnetics Research B, Vol. 1, 253-268, 2008.
doi:10.2528/PIERB07102902        Google Scholar

10. Balanis, C. A., Advanced Engineering Electromagnetics, 1989.

11. Johnson, J. M. and Y. Rahmat-Samii, "Genetic algorithms in engineering electromagnetic," IEEE Antennas Propagat. Mag., Vol. 39, 7-21, August 1997.
doi:10.1109/74.632992        Google Scholar

12. Meng, Z., "Autonomous genetic algorithm for functional optimization," Progress In Electromagnetic Research, Vol. 72, 253-268, 2007.
doi:10.2528/PIER07031506        Google Scholar

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

14. Mouysset, V., P. A. Mazet, and P. Borderies, "Optimization of broadband top-load antenna using micro-genetic algorithm," Journal of Electromagnetic. Waves and Appl., Vol. 20, No. 6, 803-817, 2006.
doi:10.1163/156939306776143398        Google Scholar

15. Chen, X., D. Liang, and K. Huang, "Microwave imaging 3-D buried objects using parallel genetic algorithm combined with FDTD technique," Journal of Electromagnetic Waves and Appl., Vol. 20, No. 13, 1761-1774, 2006.
doi:10.1163/156939306779292264        Google Scholar

16. Ngo Nyobe, E. 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

17. Su, D., 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

18. Dawson, J. F., "Improved magnetic loss for TLM," Electron. Lett., Vol. 29, No. 5, 467-468, 1993.
doi:10.1049/el:19930312        Google Scholar

19. Chung, B.-K. and H.-T. Chuah, "Modeling of RF absorber for application in the design of anechoic chamber," Progress In Electromagnetics Research, Vol. 43, 273-285, 2003.
doi:10.2528/PIER03052601        Google Scholar

20. Dawson, J. F., "Representing ferrite absorbing tiles as frequency dependent boundaries in TLM," Electron. Lett., Vol. 29, No. 9, 791-792, 1993.
doi:10.1049/el:19930529        Google Scholar

21. Chamaani, S., S. A. Mirta, M. Teshnehlab, M. A. Shooredeli, and V. Seydi, "Modified multi-objective particle swarm optimization for electromagnetic absorber design," Progress In Electromagnetics Research, Vol. 79, 353-366, 2008.
doi:10.2528/PIER07101702        Google Scholar

22. Khajehpour, A. and S. A. Mirtaheri, "Analysis of pyramid EM wave absorber by FDTD method and comparing with capacitance and homogenization methods," Progress In Electromagnetics Research Letters, Vol. 4, 123-131, 2008.
doi:10.2528/PIERL08021802        Google Scholar

23. 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        Google Scholar