Title :
A genetic algorithm approach to FSS filter design
Author :
Yuan, Y. ; Chan, C.H. ; Man, K.F. ; Mittra, R.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China
Abstract :
Frequency selective surfaces (FSS) are microwave filters that are analogous to filters in electric circuits. We present a two-step approach to designing the FSS. The basic unit-cell geometry of the FSS is first determined by using a multi-objective GA (MGA), with a specific combination of dielectric support layers. Once the unit-cell geometry has been determined, we employ the hierarchical GA (HGA) to improve the performance of the filter. We present a band-pass FSS filter design to illustrate the application of the method.
Keywords :
band-pass filters; frequency selective surfaces; genetic algorithms; microwave filters; FSS; band-pass filter; dielectric support layers; frequency selective surfaces; genetic algorithm; hierarchical GA; microwave filter design; multi-objective GA; performance; two-step approach; unit-cell geometry; Algorithm design and analysis; Band pass filters; Design optimization; Dielectrics; Frequency selective surfaces; Genetic algorithms; Geometry; Microwave filters; Optimization methods; Shape;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2001. IEEE
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-7070-8
DOI :
10.1109/APS.2001.959559
