Antenna Bandwidth Optimization with Single Frequency Simulation
Författare
Summary, in English
A method to compute antenna Q using an electromagnetic
simulation at a single frequency is described. This
method can easily be integrated into global optimization algorithms.
In this way the optimization time of some antenna
parameters, e.g., bandwidth, may be significantly reduced. The
method is validated by direct comparison with the physical bound
of the analyzed structure. Numerical examples for rectangular
antennas and antennas with a rectangular ground plane illustrate
the integration of the method into a genetic algorithm. The results
predicted by optimization agree very well with those obtained
using a commercial electromagnetic solver. These results suggest
that the method can be used to yield antennas with Q factors
within 20% of their corresponding physical bound.
simulation at a single frequency is described. This
method can easily be integrated into global optimization algorithms.
In this way the optimization time of some antenna
parameters, e.g., bandwidth, may be significantly reduced. The
method is validated by direct comparison with the physical bound
of the analyzed structure. Numerical examples for rectangular
antennas and antennas with a rectangular ground plane illustrate
the integration of the method into a genetic algorithm. The results
predicted by optimization agree very well with those obtained
using a commercial electromagnetic solver. These results suggest
that the method can be used to yield antennas with Q factors
within 20% of their corresponding physical bound.
Publiceringsår
2014
Språk
Engelska
Sidor
1304-1311
Publikation/Tidskrift/Serie
IEEE Transactions on Antennas and Propagation
Volym
62
Issue
3
Dokumenttyp
Artikel i tidskrift
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Nyckelord
- Antenna theory
- Physical limitations
- Antenna Q
- Genetic Algorithm
- Method of Moments
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0018-926X