Electromagnetic Bottom-Up Optimization for Automated Antenna Designs

Mir, Farzad; Kouhalvandi, Lida; Matekovits, Ladislau; Güneş, Ece Olcay

doi:10.1109/apmc47863.2020.9331411

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…This method is also employed for designing and optimizing the antenna, presented in [47], where the transmission lines (TLs) are increased sequentially and are configuring the structure of antenna. The detail implementation of BUO method used for optimizing antenna is presented in Fig.…”

Section: Optimization Methodsmentioning

confidence: 99%

A Prospective Look on Optimization Methods For RFID Systems: Requirements, Challenges and Implementation Aspects

Kouhalvandi

2022

Balkan Journal of Electrical and Computer Engineering

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The radio frequency identification (RFID) is a configuration of wireless communication that uses radio frequency (RF) waves for following up and recognizing data. The RFID system includes important parts as antenna and integrated circuit (IC) for radiating and storing data, respectively. Hence, high performance antenna and IC circuits must be designed for assembling the energy from the radio waves and feeding the RFID chip. One of the important circuit/block in the IC part is the amplifier where the antenna is sensing the radiated output power. For this case, it is substantially important to design high performance antenna and amplifier where the specifications of these circuits must be optimized in a professional way. In this paper, we collect the recently published optimization methods that are employed for designing antenna and RF/analog-based amplifiers. Any researcher by referring to these algorithms can access and find the solutions for their problems, straightforwardly.

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Section: Optimization Methodsmentioning

confidence: 99%

A Prospective Look on Optimization Methods For RFID Systems: Requirements, Challenges and Implementation Aspects

Kouhalvandi

2022

Balkan Journal of Electrical and Computer Engineering

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“…Optimization of such complex structures described by a large number of parameters requires a multidimensional optimization process. Hence, the proposed optimization method starts by applying the presented BUO method in Mir et al [24] for automatically constructing the initial shape of the microstrip single antenna (Step 1). The BUO method is an optimization approach that is divided into subsections; it results in more complex designs and circuits.…”

Section: Algorithm 1 Sequentially Automated Optimization Process For Designing Single Microstrip Antennas Based On Buo and Bo Methodsmentioning

confidence: 99%

“…The proposed optimization method attempts to design and size single antennas with average flat‐gain performance in a wider frequency band with respect to the starting configuration. An EM‐based BUO method presented in [24] is firstly applied for constructing the initial antenna geometry modelled with transmission lines (TLs). Then, the EM simulation‐based BO method is imposed to obtain wide BW and almost flat high‐gain single microstrip antennas by predicting the best design parameters.…”

Section: Introductionmentioning

confidence: 99%

Automated optimization for broadband flat‐gain antenna designs with artificial neural network

Mir

Kouhalvandi

Matekovits

et al. 2021

IET Microwaves Antenna & Prop

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An automated optimization process for designing and optimising high-performance single microstrip antennas is presented. It consists of the successive use of two optimization methods, bottom-up optimization (BUO) and Bayesian optimization (BO), which are applied sequentially, resulting in electromagnetic (EM)-based artificial neural network modelling. The BUO method is applied for the initial design of the structure of the antennas whereas the BO approach is successively implemented to predict suitable dimensional parameters, leading to broadband, high flat-gain antennas. The optimization process is performed automatically with the combination of an electronic design automation tool and a numerical analyser. The proposed method is easy to use; it allows one to perform the design with little experience, because both structure modelling and sizing are performed automatically. To verify the power of the proposed EM-based method experimentally, two single microstrip antennas have been designed, optimised, fabricated, and measured. The first antenna has flat-gain performance (6.9-7.2 dB) in a frequency band of 8.8-10 GHz. The second has been designed to perform in the 8.7-to 10-GHz band, where it exhibits flat-gain performance with reduced fluctuation in the range of 6.7-7 dB. The experimental results are in good agreement with the numerical data.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…A range of methods for impedance tuning and bandwidth enhancement have been proposed, including the use of wideband impedance matching balun for balanced two-arm antennas [13], and the design of an optimal matching stack that provides flat broadband transmission [14] Finally, a range of optimization techniques have been proposed to improve the performance of dipole antennas. These include machine learning-based approaches [15], computationally-efficient design optimization methods using accelerated gradient search algorithms [16], and electromagnetic bottom-up optimization strategies for automated antenna designs [17]. These collectively demonstrate the potential of various numerical simulation, electromagnetic modeling, and optimization algorithms in enhancing the performance of dipole antennas.…”

Section: Introductionmentioning

confidence: 97%

Performance Analysis of Dipole Antenna Applications: A Literature Review

Sosa,

Arboleda

2024

Preprint

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Dipole antennas, fundamental components in wireless communication systems, have garnered significant attention due to their versatility and efficiency across various applications. This literature review explores the performance analysis of dipole antennas, focusing on recent advancements and methodologies from 2019 to 2024. Employing a systematic approach, the review synthesizes findings from multiple databases, emphasizing peer-reviewed studies that delve into dipole antenna designs and applications. Through meticulous data extraction, key parameters influencing dipole antenna performance, such as material properties and operating frequency, are identified and analyzed. Results highlight the widespread utilization of dipole antennas in wireless communication systems, including indoor positioning, mobile communication, and antenna calibration, among others. Discussions underscore the evolution of dipole antennas in base station environments and their role in filtering applications. The review concludes by emphasizing the continued relevance and evolution of dipole antennas, showcasing their adaptability and potential across diverse wireless communication contexts.

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Electromagnetic Bottom-Up Optimization for Automated Antenna Designs

Cited by 7 publications

References 8 publications

A Prospective Look on Optimization Methods For RFID Systems: Requirements, Challenges and Implementation Aspects

A Prospective Look on Optimization Methods For RFID Systems: Requirements, Challenges and Implementation Aspects

Automated optimization for broadband flat‐gain antenna designs with artificial neural network

Performance Analysis of Dipole Antenna Applications: A Literature Review

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