Applying Neural Networks for Predicting Feed Weights of an Antenna Array

Juho Tyrväinen; Anu Lehtovuori; Pasi Ylä-Oijala; Ville Viikari

doi:10.23919/EuCAP60739.2024.10501353

Applying Neural Networks for Predicting Feed Weights of an Antenna Array

Juho Tyrväinen^*, Anu Lehtovuori^*, Pasi Ylä-Oijala^*, Ville Viikari^*

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

74 Lataukset (Pure)

Abstrakti

Artificial neural networks (ANN) are applied to find appropriate phasing for beam steering of patch antenna arrays. To obtain this goal, an ANN is trained using simulated far-field data. Two loss functions are tested and their performance is compared with a uniform and a non-uniform antenna array. The results show that in most cases both tested loss functions perform well, but are not able to find the best solution in all cases.

Alkuperäiskieli	Englanti
Otsikko	18th European Conference on Antennas and Propagation, EuCAP 2024
Kustantaja	IEEE
ISBN (painettu)	979-8-3503-9443-6
DOI - pysyväislinkit	https://doi.org/10.23919/EuCAP60739.2024.10501353
Tila	Julkaistu - 2024
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	European Conference on Antennas and Propagation - Glasgow, Iso-Britannia Kesto: 17 maalisk. 2024 → 22 maalisk. 2024 Konferenssinumero: 18

Conference

Conference	European Conference on Antennas and Propagation
Lyhennettä	EuCAP
Maa/Alue	Iso-Britannia
Kaupunki	Glasgow
Ajanjakso	17/03/2024 → 22/03/2024

Pääsy asiakirjaan

10.23919/EuCAP60739.2024.10501353

Applying_Neural_Networks_for_Predicting_Feed_Weights_of_an_Antenna_ArrayFinal published version, 316 KB

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@inproceedings{a8088bc958e54dc9ae0669faebb9d8c2,

title = "Applying Neural Networks for Predicting Feed Weights of an Antenna Array",

abstract = "Artificial neural networks (ANN) are applied to find appropriate phasing for beam steering of patch antenna arrays. To obtain this goal, an ANN is trained using simulated far-field data. Two loss functions are tested and their performance is compared with a uniform and a non-uniform antenna array. The results show that in most cases both tested loss functions perform well, but are not able to find the best solution in all cases.",

keywords = "antenna, antenna array, artificial neural network, beam steering, machine learning",

author = "Juho Tyrv{\"a}inen and Anu Lehtovuori and Pasi Yl{\"a}-Oijala and Ville Viikari",

note = "Publisher Copyright: {\textcopyright} 2024 18th European Conference on Antennas and Propagation, EuCAP 2024. All Rights Reserved.; European Conference on Antennas and Propagation, EuCAP ; Conference date: 17-03-2024 Through 22-03-2024",

year = "2024",

doi = "10.23919/EuCAP60739.2024.10501353",

language = "English",

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TY - GEN

T1 - Applying Neural Networks for Predicting Feed Weights of an Antenna Array

AU - Tyrväinen, Juho

AU - Lehtovuori, Anu

AU - Ylä-Oijala, Pasi

AU - Viikari, Ville

N1 - Conference code: 18

PY - 2024

Y1 - 2024

N2 - Artificial neural networks (ANN) are applied to find appropriate phasing for beam steering of patch antenna arrays. To obtain this goal, an ANN is trained using simulated far-field data. Two loss functions are tested and their performance is compared with a uniform and a non-uniform antenna array. The results show that in most cases both tested loss functions perform well, but are not able to find the best solution in all cases.

AB - Artificial neural networks (ANN) are applied to find appropriate phasing for beam steering of patch antenna arrays. To obtain this goal, an ANN is trained using simulated far-field data. Two loss functions are tested and their performance is compared with a uniform and a non-uniform antenna array. The results show that in most cases both tested loss functions perform well, but are not able to find the best solution in all cases.

KW - antenna

KW - antenna array

KW - artificial neural network

KW - beam steering

KW - machine learning

UR - http://www.scopus.com/inward/record.url?scp=85192456347&partnerID=8YFLogxK

U2 - 10.23919/EuCAP60739.2024.10501353

DO - 10.23919/EuCAP60739.2024.10501353

M3 - Conference article in proceedings

AN - SCOPUS:85192456347

SN - 979-8-3503-9443-6

BT - 18th European Conference on Antennas and Propagation, EuCAP 2024

PB - IEEE

T2 - European Conference on Antennas and Propagation

Y2 - 17 March 2024 through 22 March 2024

ER -

Applying Neural Networks for Predicting Feed Weights of an Antenna Array

Abstrakti

Conference

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