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Design and Optimization Strategies of a High-Performance Vented Box

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Published on: June 9, 2023

Deep neural learning based optimization for automated high performance antenna designs.

Farzad Mir¹, Lida Kouhalvandi², Ladislau Matekovits^3,4,5

¹Department of Electrical and Computer Engineering, University of Houston, 77204, Houston, Texas, USA.

Scientific Reports

|October 7, 2022

Summary

This study presents an automated method for designing high-performance antennas using bottom-up optimization (BUO) and deep neural networks (DNNs). The approach reduces designer involvement and successfully creates wideband antennas with significant bandwidth and gain.

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Area of Science:

Electrical Engineering
Electromagnetics
Antenna Theory

Background:

Designing high-performance antennas often involves complex, iterative processes requiring significant designer expertise.
Traditional antenna design methods can be time-consuming and may not efficiently explore the design space for optimal parameters.

Purpose of the Study:

To introduce a novel, fully automated optimization-oriented method for designing high-performance single antennas.
To reduce designer involvement in the antenna design process through automated layout generation.

Main Methods:

A two-step sequential optimization approach: bottom-up optimization (BUO) for antenna shape and feeding point configuration.
Deep neural network (DNN) based on Thompson sampling efficient multi-objective optimization (TSEMO) for fine-tuning antenna design parameters (width, length).

Main Results:

Successfully designed and validated two wideband antennas using the proposed automated method.
The first antenna achieved 43% bandwidth (8.8-10.1 GHz) with 7.13 dB maximum gain.
The second antenna achieved 47.5% bandwidth (11.3-13.16 GHz) with 7.8 dB maximum gain.

Conclusions:

The implemented optimization method effectively tackles antenna design complexity and large dimensions.
The automated approach significantly decreases designer involvement by generating valid antenna layouts.
The method demonstrates practical applicability for creating efficient wideband antennas.