Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks

Januszkiewicz, Łukasz; Barba, Paolo Di; Jopek, Lukasz; Hausman, Sławomir

doi:10.3390/s18103309

Cited by 12 publications

(5 citation statements)

References 21 publications

(21 reference statements)

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“…After three fully connected layers in the decoder, the network is then reshaped to a matrix 301 × 4. The loss function of this network is Equation (12). The neural network learns the non-linear relationship between the geometrical parameters and the corresponding S-parameters and is able to predict the physical performance corresponding to any set of geometrical parameters with a loss function that meets the criteria.…”

Section: Fourth-order Cavity Filtermentioning

confidence: 99%

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Accurate Design of Microwave Filter Based on Surrogate Model-Assisted Evolutionary Algorithm

Zhang

Wang

et al. 2022

Electronics

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Filter optimization problems involve time-consuming simulations and many variables in the design. These problems require a large amount of computation. This paper proposes an adaptive online updating 1D convolutional autoencoders (AOU-1D-CAE) surrogate model for solving this computationally expensive problem. In the optimization process, an adaptive update surrogate mapping between input variables and output objectives is constructed within the surrogate model AOU-1D-CAE framework. AOU-1D-CAE can replace electromagnetic (EM) simulation software for data collection, and select and automatically use the accumulated data as training samples to train the AOU-1D-CAE surrogate model. With more and more training samples, the learning ability of the surrogate model is also becoming stronger and stronger. The experimental results show that the data collection efficiency of AOU-1D-CAE is greatly improved, and the automatic update of the sample set improves the prediction performance of the surrogate model. In this paper, the optimization framework is AOU-1D-CAE-assisted particle swarm optimization (PSO), and the surrogate model assists PSO to find the global optimal solution. In the PSO stage, PSO automatically updates and saves the optimal solution, and takes the optimal solution of each stage as the initial solution of the next optimization stage to avoid falling into the local optimal solution. The optimization time is greatly saved and the optimization efficiency is improved. The continuous iteration of PSO also improves the prediction accuracy of the surrogate model. The efficiency of the proposed surrogate model is demonstrated by using two cavity filters as examples.

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Section: Fourth-order Cavity Filtermentioning

confidence: 99%

“…The design of filters often has complex and multi-objective aspects. Reaching the optimal variable is related to the objective function under multiple objectives [12,13]. However, the shortcoming is the comparatively slow rate of convergence in these algorithms.…”

Section: Introductionmentioning

confidence: 99%

Accurate Design of Microwave Filter Based on Surrogate Model-Assisted Evolutionary Algorithm

Zhang

Wang

et al. 2022

Electronics

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“…The operating frequency bands can be achieved by adjusting the size, shape, and dielectric constant of the substrate material. In recent years, wireless communication technology has developed rapidly, and as a result, WLAN communication systems have also seen significant growth and an expanding range of applications in the market [3].…”

Section: Introductionmentioning

confidence: 99%

Design of Dual-Band Microstrip Patch Antenna for Wireless Local Area Network Applications

Hussain,

Butt,

Nadeem

et al. 2023

Ieec 2023

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“…II. DESIGN OF THE UHF/UWB ANTENNA READER Due to their simple construction, ease of manufacturing, good wideband properties, and omnidirectional radiation patterns, circular disc monopole antennas are promising solutions for UHF/UWB RFID applications [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

A UHF/UWB Monopole Antenna Design Process Integrated in an RFID Reader Board

Mekki

Necibi

Lakhdhar

et al. 2022

J Electromagn Eng Sci

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This paper presents a new circular monopole antenna with triple-band characteristics that can operate in both ultra-high frequency (UHF) and ultra-wideband (UWB) and can be integrated into a radio-frequency identification (RFID) system reader board. The antenna was built with a patch and a coplanar waveguide (CPW) feed microstrip line to meet the UHF/UWB bandwidth requirements for RFID applications. The designed antenna has a size of 70 mm × 60 mm × 0.8 mm. CST Microwave Studio simulations were used to validate the proposed antenna, which had a maximum gain of 4.8 dBi. Furthermore, the designed antenna had a radiation pattern that spanned the full working band. To interact with RFID tags, the antenna was built and installed into the RFID reader board. The simulation and measurement findings showed good agreement. Experiments indicated that the UHF-RFID performance of the monopole antenna was comparable to that of existing commercial solutions.

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Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks

Cited by 12 publications

References 21 publications

Accurate Design of Microwave Filter Based on Surrogate Model-Assisted Evolutionary Algorithm

Accurate Design of Microwave Filter Based on Surrogate Model-Assisted Evolutionary Algorithm

Design of Dual-Band Microstrip Patch Antenna for Wireless Local Area Network Applications

A UHF/UWB Monopole Antenna Design Process Integrated in an RFID Reader Board

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