论文信息 - Design of Multibeam Dielectric Lens Antennas by Multi-objective Optimization

Design of Multibeam Dielectric Lens Antennas by Multi-objective Optimization

We propose an effective method to design multibeam dielectric lens antennas. A genetic algorithm (GA) with multi-objective optimization is adopted to balance gain against sidelobe level. The lens shapes and the position of each feed are associated with chromosomes. The gain and sidelobe level are evaluated in a pareto ranking method. The method yields the distribution of the objective function values and the corresponding antenna structures.

K. Yamamori | T. Maruyama | Y. Kuwahara

[1] E. E. Altshuler,et al. Wire-antenna designs using genetic algorithms , 1997 .

[2] R. Brown,et al. Dielectric bifocal lenses , 1956 .

[3] Y. Kuwahara,et al. Multiobjective optimization design of Yagi-Uda antenna , 2005, IEEE Transactions on Antennas and Propagation.

[4] R. K. Luneburg,et al. Mathematical Theory of Optics , 1966 .

[5] Yoshihide Yamada,et al. Calculation of Wide Angle Radiation Patterns and Caustics of a Dielectric Lens Antenna by a Ray Tracing Method(Antennas, Circuits and Receivers)( Wave Technologies for Wireless and Optical Communications) , 2004 .

[6] William T. Joines,et al. Design of Yagi-Uda antennas using genetic algorithms , 1997 .

[7] K. Dejong,et al. An Analysis Of The Behavior Of A Class Of Genetic Adaptive Systems , 1975 .

[8] Yoshihiko Kuwahara,et al. An X-Band Phased Array Antenna with a Large Elliptical Aperture (Special Issue on Radar Technology) , 1993 .

[9] A. L. Peebles. A dielectric bifocal lens for multibeam antenna applications , 1988 .

[10] R. Schmidt,et al. Bifocal dual reflector antenna , 1972 .

[11] David E. Goldberg,et al. A niched Pareto genetic algorithm for multiobjective optimization , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.