Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm

This paper presents the design of a novel fabric-based multi-band microstrip antenna in mm-wave frequencies for wearable applications. The reference patch antenna was etched on a flexible polytetrafluoroethylene (PTFE) fabric substrate with an overall dimension of 18 mm × 18 mm × 0.6 mm and optimize...

Full description

Saved in:
Bibliographic Details
Main Authors: Arebu Dejen, Murad Ridwan, Jeevani Jayasinghe, Jaume Anguera
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2022/1958247
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832545872492101632
author Arebu Dejen
Murad Ridwan
Jeevani Jayasinghe
Jaume Anguera
author_facet Arebu Dejen
Murad Ridwan
Jeevani Jayasinghe
Jaume Anguera
author_sort Arebu Dejen
collection DOAJ
description This paper presents the design of a novel fabric-based multi-band microstrip antenna in mm-wave frequencies for wearable applications. The reference patch antenna was etched on a flexible polytetrafluoroethylene (PTFE) fabric substrate with an overall dimension of 18 mm × 18 mm × 0.6 mm and optimized the patch geometry using a binary-coded genetic algorithm. The algorithm iteratively creates a new shape of the path surface, evaluates the cost function, and returns the best-fitted geometry based on the formulated fitness function. The free space and on-body simulation of the best-fitted antenna performance parameter was investigated and analyzed. In free space, the proposed antenna is resonant at five distinct frequencies: 27.8 GHz, 30.3 GHz, 40.1 GHz, 47.2 GHz, and 56.7 GHz. The antenna achieves a wide bandwidth of 0.69, 2.32, 2.22, 1.76, and 8.11 GHz and an improved broadside directivity of 10.3, 8.5, 7.8, 9.6, and 8.9 dB in free space, respectively. For on-body analysis, the antenna was simulated using a three-layer human body phantom model at three distinct distances. The gain and radiation efficiency were significantly reduced when the antenna was close to the phantom model and gradually enhanced as the gap increased. Moreover, the antenna performances were evaluated and compared by using four additional fabric substrates. Because of its excellent on-body performance with flexible textile-based substrates, the optimized antenna is a suitable candidate for multi-band body-centric communications.
format Article
id doaj-art-a228f1bc2733480ab3ceae55cd4f2b08
institution Kabale University
issn 1687-5877
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series International Journal of Antennas and Propagation
spelling doaj-art-a228f1bc2733480ab3ceae55cd4f2b082025-02-03T07:24:26ZengWileyInternational Journal of Antennas and Propagation1687-58772022-01-01202210.1155/2022/1958247Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic AlgorithmArebu Dejen0Murad Ridwan1Jeevani Jayasinghe2Jaume Anguera3School of Electrical and Computer EngineeringSchool of Electrical and Computer EngineeringDepartment of ElectronicsTelecommunication EngineeringThis paper presents the design of a novel fabric-based multi-band microstrip antenna in mm-wave frequencies for wearable applications. The reference patch antenna was etched on a flexible polytetrafluoroethylene (PTFE) fabric substrate with an overall dimension of 18 mm × 18 mm × 0.6 mm and optimized the patch geometry using a binary-coded genetic algorithm. The algorithm iteratively creates a new shape of the path surface, evaluates the cost function, and returns the best-fitted geometry based on the formulated fitness function. The free space and on-body simulation of the best-fitted antenna performance parameter was investigated and analyzed. In free space, the proposed antenna is resonant at five distinct frequencies: 27.8 GHz, 30.3 GHz, 40.1 GHz, 47.2 GHz, and 56.7 GHz. The antenna achieves a wide bandwidth of 0.69, 2.32, 2.22, 1.76, and 8.11 GHz and an improved broadside directivity of 10.3, 8.5, 7.8, 9.6, and 8.9 dB in free space, respectively. For on-body analysis, the antenna was simulated using a three-layer human body phantom model at three distinct distances. The gain and radiation efficiency were significantly reduced when the antenna was close to the phantom model and gradually enhanced as the gap increased. Moreover, the antenna performances were evaluated and compared by using four additional fabric substrates. Because of its excellent on-body performance with flexible textile-based substrates, the optimized antenna is a suitable candidate for multi-band body-centric communications.http://dx.doi.org/10.1155/2022/1958247
spellingShingle Arebu Dejen
Murad Ridwan
Jeevani Jayasinghe
Jaume Anguera
Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm
International Journal of Antennas and Propagation
title Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm
title_full Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm
title_fullStr Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm
title_full_unstemmed Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm
title_short Multi-Band mm-Wave Wearable Antenna Synthesized with a Genetic Algorithm
title_sort multi band mm wave wearable antenna synthesized with a genetic algorithm
url http://dx.doi.org/10.1155/2022/1958247
work_keys_str_mv AT arebudejen multibandmmwavewearableantennasynthesizedwithageneticalgorithm
AT muradridwan multibandmmwavewearableantennasynthesizedwithageneticalgorithm
AT jeevanijayasinghe multibandmmwavewearableantennasynthesizedwithageneticalgorithm
AT jaumeanguera multibandmmwavewearableantennasynthesizedwithageneticalgorithm