论文信息 - Design of Yagi-Uda antennas using genetic algorithms

Design of Yagi-Uda antennas using genetic algorithms

A method of using genetic algorithms to optimize the element spacing and lengths of Yagi-Uda antennas is presented. A method of moments code, NEC2, performs the task of evaluating each of the antenna designs generated by the genetic algorithm (GA) during the optimization process. To illustrate the capabilities of the method, the length and spacing of several Yagi-Uda antennas are optimized for various performance characteristics. The results are compared to published results from other optimization techniques and to well-designed equally spaced arrays.

William T. Joines | E. A. Jones | W. Joines | E. Jones

[1] D. Marcano,et al. Synthesis of multiple beam linear antenna arrays using genetic algorithms , 1995, IEEE Antennas and Propagation Society International Symposium. 1995 Digest.

[2] D. Cheng,et al. Gain optimization for Yagi-Uda arrays , 1991, IEEE Antennas and Propagation Magazine.

[3] R. Mittra,et al. Design of lightweight, broad-band microwave absorbers using genetic algorithms , 1993 .

[4] David K. Cheng,et al. Optimum element spacings for Yagi-Uda arrays , 1972 .

[5] Raj Mittra,et al. Design of electrically loaded wire antennas using genetic algorithms , 1996 .

[6] H. Ehrenspeck,et al. A new method for obtaining maximum gain from yagi antennas , 1959 .

[7] Anne Brindle,et al. Genetic algorithms for function optimization , 1980 .

[8] G. Thiele,et al. Antenna theory and design , 1981 .

[9] David K. Cheng,et al. Optimum element lengths for Yagi-Uda arrays , 1975 .

[10] Randy L. Haupt,et al. Comparison between genetic and gradient-based optimization algorithms for solving electromagnetics problems , 1995 .

[11] Randy L. Haupt. Thinned arrays using genetic algorithms , 1994 .