Title :
MATNEC: An in-house developed tool for electromagnetic simulation and evolutionary optimization of wire antennas
Author :
Zhao, Sicong ; Fumeaux, Christophe ; Fickenscher, T.
Author_Institution :
Fac. of Electr. Eng., Helmut Schmidt Univ., Hamburg, Germany
Abstract :
Various techniques of numerical electromagnetic computation have been widely used for decades in the design of antennas. In particular, the Numerical Electromagnetic Code was developed based on the method of moments to solve integral equations for current distributions, and thus, it is particularly efficient for the modeling and analysis of wire antennas and other metal structures. The computation load can, however, increase significantly with the increase of complexity in structure modeling. Radial basis functions are employed for geometry description to ease such burden by representing structural variations with a minimal number of variables. Evolutionary optimizations are used to explore a wider solution space in a timely manner in the pursuit of near-optimal solution in a multivariable environment. An in-house tool called MATNEC integrating modeling, simulation, analysis, and optimization is developed, which can successfully deliver near-optimal solutions under a pre-defined fitness function, considering both antenna efficiency and bandwidth. Helical antennas with variations in radius and pitch are successfully optimized, which effectively verifies the robustness of MATNEC and methodology applied.
Keywords :
antenna radiation patterns; current distribution; genetic algorithms; helical antennas; integral equations; method of moments; wire antennas; Helical antenna; MATNEC integrating model; MATNEC robustness; antenna bandwidth; current distribution; electromagnetic simulation; genetic algorithm; in-house tool; integral equation; metal structure; method of moments; multivariable environment; numerical electromagnetic code; numerical electromagnetic computation load; predefined fitness function; radial basis function; wire antenna evolutionary optimization; Antennas; Bandwidth; Computational modeling; Genetic algorithms; Mathematical model; Optimization; Wires; Evoluntionary optimization; Genetic algorithm; Method of Moments; NEC; Particle swarm algorithm; Small antennas;
Conference_Titel :
Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO), 2014 International Conference on
Conference_Location :
Pavia
DOI :
10.1109/NEMO.2014.6995661