Abstract
Microstrip antennas synthesis is a demanding task; many of the equations involved in the process use various approximations due to the nonlinear properties and relations that govern the antenna synthesis. In This paper we tried to use genetic algorithm to design a circular microstrip ring that operates in a predefined frequency band (402 – 405 MHz) Medical Implant Communication Service Frequency Band. The methodology and procedures are presented, a presentation of the method is provided and an HFSS simulation of the antenna is made. Results are presented with guidelines for further future work
Highlights
Microstrip antennas gained large attention due to their characteristics; they are electrically thin, lightweight, low cost, conformable, easy to manufacture and can be produced as arrays
This report is organized as follows, after the brief introduction, the circular ring antenna and the formulas based on cavity models are presented, a general overview of genetic algorithm with an example in section 3, our problems and a way to overcome them are reported in section 4 and our conclusion in section number 5
With applications as a resonator in measurements of a substrate dielectric constant and as a radiator in medical applications the microstrip ring antenna comes as an improvement of the circular patch antenna, the improvement in the sense of size reduction
Summary
Microstrip antennas gained large attention due to their characteristics; they are electrically thin, lightweight, low cost, conformable , easy to manufacture and can be produced as arrays. Even with the mentioned drawbacks the advantages of microstrip antennas overcome the drawbacks and make them preferable antennas for wireless applications like satellite, highperformance spacecraft, aircrafts, missiles and mobile phones They are in the category of resonant type antennas which makes an accurate determination of the operating frequency of the antenna an essential part of the antenna design due to their small bandwidth [1]. Genetic algorithms combined with cavity methods are used for determining the radius of annular ring microstrip antennas, while in [7] genetic algorithms are used to design a small size antenna for body implanted devices, the synthesis of triangular antenna using ANN was done in [8], in [9] a hybrid method combining neural network and fuzzy inference was design for the computing resonant frequency of various microstrip antennas. This report is organized as follows, after the brief introduction, the circular ring antenna and the formulas based on cavity models are presented, a general overview of genetic algorithm with an example in section 3, our problems and a way to overcome them are reported in section 4 and our conclusion in section number 5
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