Abstract

Designing multiband antennas with low volume becomes of practical interest for mobile telecommunications. This paper presents the designs of five small dual band patch antennas for GSM 1800 (1710-1880MHz) and Bluetooth (2400-2483.5MHz) applications using a genetic algorithm combined with MoM (Method of Moments). A substrate with dielectric constant 3.2 and height 8mm is used for the first two dual band designs. The height is reduced thanks to the optimization process to 6mm in the third design by inserting a shorting pin to the fragmented patch antenna. Further the height is reduced to 4mm in the by inserting two shorting pins. In the final design with three shorting pins, the height is only 3mm. The patch dimensions are similar to that of the conventional rectangular patch for the center frequency of the lowest frequency band but with the advantage of having dual-band operation at the desired bands. Genetic algorithm optimization is used to optimize the patch geometry, feed position and shorting positions. HFSS is used to carry out simulations. The antenna thickness is reduced from 8mm to 3mm by incorporating shorting pins which position is optimized by the genetic algorithm.

Highlights

  • Cellular communications were used only for voice communication, utilizing a single band

  • The antenna resonates around the lower frequency band well, but there is no resonance in the Bluetooth band

  • It is difficult to obtain multiband performance using conventional rectangular shaped patch antennas since bands are dictated by the mode distribution

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Summary

Introduction

Cellular communications were used only for voice communication, utilizing a single band. Three techniques, which are designing the patch geometry, optimizing the feed position and inserting shorting pins to optimum positions are used alone and as combinations using GA to achieve dual band performance. A shorting pin is included into the rectangular shape patch in section 3.3 and dual band performance is obtained.

Antenna Configuration and GAO parameters
Results
Conclusion
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