Abstract
Surrogate Model Assisted Design of CSRR Structure using Genetic Algorithm for Microstrip Antenna Application
Highlights
Multi-objective antenna design is a complex process which involves optimization of the physical dimensions of an antenna to meet multiple desired goals
The use of the surrogate model significantly reduces the computation time as it does not involve actual full-wave simulation of the structure
The two surrogate models are compared based on speed and accuracy
Summary
Multi-objective antenna design is a complex process which involves optimization of the physical dimensions of an antenna to meet multiple desired goals. Soft-computational multiobjective simulations are essential for identifying and optimizing these tradeoffs [1]. The complementary split-ring resonator (CSRR) structure is a metamaterial structure reported by Falcone et al as a band-stop filtering element in a microstrip line [8]. This structure yields an effective negative value of the permittivity, ε of a material at a narrow band near its resonant frequency. Owing to the negative value of permittivity, a microstrip line loaded with a CSRR structure at its ground plane eliminates a narrow band near its resonant frequency. The CSRR structure is reported in an antenna for a superheterodyne receiver which has an inherent capability to eliminate two possible image frequencies [14]
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