volume | PIER Journals

Abstract

Folded wire load antennas with matching network are designed by using optimization algorithms. The loads are parallel capacitor/inductor/resistor circuits that are adjusted by means of Differential Evolution (DE) optimizers to maximize bandwidth and the matching networks. The measured voltage standing-wave ratio (VSWR) of the load folded dipoles confirms broadband performance and agrees with data obtained from moment method computations. Antennas having bandwidth ratio of 2.5 : 1, with measured VSWR less than 3.5, meets the requirement.

1. Bahr, M., A. Boag, E. Michielssen, and R. Mittra, "Design of ultra broad-band loaded monopole antennas," Proc. IEEE AP-S Int. Symp., 1290-1293, Seattle, WA, Jun. 1994. Google Scholar

2. Boag, A., A. Boag, E. Michielssen, and R. Mittra, "Design electrically loaded antennas using genetic algorithms," IEEE Trans. Antennas Propagat., Vol. 44, No. 5, May 1996.
doi:10.1109/8.496255 Google Scholar

3. Rogers, S. D., M. Butler, and Q. Martin, "Design and realization of GA-optimized wire monopole and matching network with 20 : 1 bandwidth," IEEE Trans. Antennas Propagat., Vol. 51, 493-502, Mar. 2003.
doi:10.1109/TAP.2003.809851 Google Scholar

4. Mattioni, L. and G. Marrocco, "Desing of a broadband HF antenna for multimode naval communications," IEEE Antennas and Wireless Propagation Letters, Vol. 4, 179-182, 2005.
doi:10.1109/LAWP.2005.850796 Google Scholar

5. Storn, R. and K. Price, "Differential evolution --- A simple and efficient adaptive scheme for global optimization over continuous spaces," Univ. California, Berkeley, Int. Comput. Sci. Inst., Berkeley. Google Scholar

6. Storn, R., "System design by constraint adaptation and differential evolution," IEEE Trans. Evolutionary Computation, Vol. 3, 22-34, Apr. 1999.
doi:10.1109/4235.752918 Google Scholar

7. Qing, A., X. Xu, and Y. B. Gan, "Anisotropy of composite materials with inclusion with orientation preference," IEEE Trans. Antennas Propagat., Vol. 53, No. 2, 737-744, Feb. 2005.
doi:10.1109/TAP.2004.841316 Google Scholar

8. Xue, F., A. C. Sanderson, and R. J. Graves, "Pareto-based multi-objective differential evolution," Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Vol. 2, 862-869, IEEE Press, Canberra, Australia, 2003. Google Scholar

9. Noman, N. and H. Iba, "Accelerating differential evolution using an adaptive local search," IEEE Trans. Evolutionary Computation, Vol. 12, No. 1, 107-125, Feb. 2008.
doi:10.1109/TEVC.2007.895272 Google Scholar

10. Li, R., L. Xu, X.-W. Shi, N. Zhang, and Z.-Q. Lv, "Improved differential evolution strategy for antenna array pattern synthesis problems," Progress In Electromagnetics Research, Vol. 113, 429-441, 2011. Google Scholar

11. Bo, Y. and B. Liu, "An epitome-based evolutionary algorithm with behavior division for multi-model optimizations algorithm," IEEE Int. Conference Neural Networks & Signal Processing, Zhenjiang, China, Jun. 8-10, 2008. Google Scholar

12. Li, J.-Y., "A bi-swarm optimizing strategy and its application of antenna design," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 14-15, 1877-1886, 2009.
doi:10.1163/156939309789932449 Google Scholar

13. Guo, J.-L., J.-Y., and Li, "Pattern synthesis of conformal array antenna in the presence of platform using dierential evolution algorithm," IEEE Trans. Antenna Propagat., Vol. 57, No. 9, 2615-2621, Sep. 2009.
doi:10.1109/TAP.2009.2027046 Google Scholar

14. Rogers, D. and C. M. Butler, "An efficient curved-wire integral equation solution technique," IEEE Trans. Antennas Propagat., Vol. 49, No. 1, 70-79, Jan. 2001.
doi:10.1109/8.910532 Google Scholar

Dr. Jian-Ying Li

Ms. Yu Yu Kyi