| Título | Slotted Waveguide Antenna Design by Segmented Simulation and Multi-Objective Genetic Algorithm |
| Tipo de publicación | Conference Paper |
| Year of Publication | 2017 |
| Autores | Garcia-Marin, E., J. Córcoles, J. Rubio, J. L. Masa-Campos, and P. Sanchez-Olivares |
| Conference Name | IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave and Terahertz Applications (NEMO) |
| Date Published | May |
| Resumen | A progressive-wave antenna automated design technique is presented in this work. By means of a simulation method based on spherical wave expansion and generalized scattering matrix, full-wave analysis of a slotted waveguide array can be efficiently performed. Since coupling effects are considered in the simulation, a final antenna design can be obtained without any further modification required on it. In order to achieve such design, a multi-objective optimization based on Nondominated Sorting Genetic Algorithm Version III (NSGA-III) state-of-theart genetic algorithm is carried out. At the working frequency of 17 GHz, final design provides a 16.6 dBi gain, Side-Lobe Levels lower than -18.3 dB and a 0.6% power waste at the output port. A -15-dB matching bandwidth of an 8.8% is obtained. The results have been validated with commercial-software simulations. |
