Abstract

Hybrid robust optimization that combines a genetical swarm optimization (GSO) scheme with an orthogonal array (OA) is proposed to design an antenna robust to the tolerances arising during the fabrication process of the antenna in this paper. An inverted-F antenna with a metal frame serves as an example to explain the procedure of the proposed method. GSO is adapted to determine the design variables of the antenna, which operates on the GSM850 band (824–894 MHz). The robustness of the antenna is evaluated through a noise test using the OA. The robustness of the optimized antenna is improved by approximately 61.3% relative to that of a conventional antenna. Conventional and optimized antennas are fabricated and measured to validate the experimental results.

Highlights

  • As the interest in smartphones has increased in the mobile communication market, metal frames are becoming widely used to provide the consumer with a stylish and luxurious exterior for their devices

  • This method is conducted on the basis of genetical swarm optimization (GSO), and the robustness of the antenna is evaluated through the orthogonal array (OA) matrix

  • These results demonstrate that the robustness of the optimized antenna is improved by 61.3% as compared to that of the conventional antenna

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Summary

Introduction

As the interest in smartphones has increased in the mobile communication market, metal frames are becoming widely used to provide the consumer with a stylish and luxurious exterior for their devices. The performance can be deteriorated due to the tolerances arising during the manufacturing process of an antenna Noise factors such as tolerance levels should be considered in the design of an antenna. A hybrid robust optimization (HRO) which combines genetical swarm optimization (GSO) with an OA is proposed. The standard TM is inefficient when used with an extensive search boundary because it considers only limited cases To overcome this drawback, the GSO algorithm is used instead of OA to obtain a new combination of design parameters in the proposed method. An inverted-F antenna (IFA) with a metal frame [9,10,11] is employed as an example to explain the procedure of the proposed method.

Geometry
Hybrid Robust Optimization
Design variables oft he initial antenna
Robust Optimization Result
Experimental Result
Findings
Conclusion
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