A Novel Utilization of NARX for Antenna Array Adaptive Beamforming

Ioannis Mallioras; Zaharias D. Zaharis; Pavlos I. Lazaridis; Nikolaos V. Kantartzis; Traianos V. Yioultsis; Bo Liu; Stavros Kalafatis

doi:10.23919/AT-AP-RASC54737.2022.9814406

A Novel Utilization of NARX for Antenna Array Adaptive Beamforming

Ioannis Mallioras, Zaharias D. Zaharis, Pavlos I. Lazaridis, Nikolaos V. Kantartzis, Traianos V. Yioultsis, Bo Liu, Stavros Kalafatis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this paper, we investigate the use of a nonlinear autoregressive network with exogenous inputs (NARX) for adaptive beamforming on smart antennas. As a beamformer, NARX receives the angles of arrival of incoming signals to extract the complex feeding weights that produce the appropriate antenna radiation pattern. In order to demonstrate the potential of such an implementation, we test our model on a realistic linear antenna array composed of 16 microstrip elements. We use the null steering beamforming technique to produce the datasets needed for training and testing of our model and then we evaluate the accuracy of the radiation patterns produced by this model. To further demonstrate the efficiency of the NARX implementation, we also make a comparison with a feed-forward neural network that has the same architecture with that of NARX.

Original language	English
Title of host publication	2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	4
ISBN (Electronic)	9789463968058
ISBN (Print)	9781665499866
DOIs	https://doi.org/10.23919/AT-AP-RASC54737.2022.9814406
Publication status	Published - 6 Jul 2022
Event	3rd URSI Atlantic and Asia Pacific Radio Science Meeting - Gran Canaria, Spain Duration: 29 May 2022 → 3 Jun 2022 Conference number: 3

Conference

Conference	3rd URSI Atlantic and Asia Pacific Radio Science Meeting
Abbreviated title	AT-AP-RASC 2022
Country/Territory	Spain
City	Gran Canaria
Period	29/05/22 → 3/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.23919/AT-AP-RASC54737.2022.9814406Licence: Unspecified

Accepted manuscriptAccepted author manuscript, 236 KBLicence: Unspecified

Cite this

Mallioras, I., Zaharis, Z. D., Lazaridis, P. I., Kantartzis, N. V., Yioultsis, T. V., Liu, B., & Kalafatis, S. (2022). A Novel Utilization of NARX for Antenna Array Adaptive Beamforming. In 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022 [9814406] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/AT-AP-RASC54737.2022.9814406

@inproceedings{1599e1af5f984e44ac4c611f3ed71a0b,

title = "A Novel Utilization of NARX for Antenna Array Adaptive Beamforming",

abstract = "In this paper, we investigate the use of a nonlinear autoregressive network with exogenous inputs (NARX) for adaptive beamforming on smart antennas. As a beamformer, NARX receives the angles of arrival of incoming signals to extract the complex feeding weights that produce the appropriate antenna radiation pattern. In order to demonstrate the potential of such an implementation, we test our model on a realistic linear antenna array composed of 16 microstrip elements. We use the null steering beamforming technique to produce the datasets needed for training and testing of our model and then we evaluate the accuracy of the radiation patterns produced by this model. To further demonstrate the efficiency of the NARX implementation, we also make a comparison with a feed-forward neural network that has the same architecture with that of NARX. ",

keywords = "Training, Adaptation models, Microstrip antenna arrays, Array signal processing, Adaptive arrays, Receiving antennas, Brain modelling",

author = "Ioannis Mallioras and Zaharis, {Zaharias D.} and Lazaridis, {Pavlos I.} and Kantartzis, {Nikolaos V.} and Yioultsis, {Traianos V.} and Bo Liu and Stavros Kalafatis",

note = "Funding Information: This research was supported by the European Union, partially through the Horizon 2020 Marie Sk{\l}odowska-Curie Innovative Training Networks Programme “Mobility and Training for beyond 5G Ecosystems (MOTOR5G)” under grant agreement no. 861219, and partially through the Horizon 2020 Marie Sk{\l}odowska-Curie Research and Innovation Staff Exchange Programme “Research Collaboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)” under grant agreement no. 872857. Publisher Copyright: {\textcopyright} 2022 URSI.; 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022 ; Conference date: 29-05-2022 Through 03-06-2022",

year = "2022",

month = jul,

day = "6",

doi = "10.23919/AT-AP-RASC54737.2022.9814406",

language = "English",

isbn = "9781665499866",

booktitle = "2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Mallioras, I, Zaharis, ZD, Lazaridis, PI, Kantartzis, NV, Yioultsis, TV, Liu, B & Kalafatis, S 2022, A Novel Utilization of NARX for Antenna Array Adaptive Beamforming. in 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022., 9814406, Institute of Electrical and Electronics Engineers Inc., 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, Gran Canaria, Spain, 29/05/22. https://doi.org/10.23919/AT-AP-RASC54737.2022.9814406

A Novel Utilization of NARX for Antenna Array Adaptive Beamforming. / Mallioras, Ioannis; Zaharis, Zaharias D.; Lazaridis, Pavlos I. et al.

2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. 9814406.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Novel Utilization of NARX for Antenna Array Adaptive Beamforming

AU - Mallioras, Ioannis

AU - Zaharis, Zaharias D.

AU - Lazaridis, Pavlos I.

AU - Kantartzis, Nikolaos V.

AU - Yioultsis, Traianos V.

AU - Liu, Bo

AU - Kalafatis, Stavros

N1 - Conference code: 3

PY - 2022/7/6

Y1 - 2022/7/6

N2 - In this paper, we investigate the use of a nonlinear autoregressive network with exogenous inputs (NARX) for adaptive beamforming on smart antennas. As a beamformer, NARX receives the angles of arrival of incoming signals to extract the complex feeding weights that produce the appropriate antenna radiation pattern. In order to demonstrate the potential of such an implementation, we test our model on a realistic linear antenna array composed of 16 microstrip elements. We use the null steering beamforming technique to produce the datasets needed for training and testing of our model and then we evaluate the accuracy of the radiation patterns produced by this model. To further demonstrate the efficiency of the NARX implementation, we also make a comparison with a feed-forward neural network that has the same architecture with that of NARX.

AB - In this paper, we investigate the use of a nonlinear autoregressive network with exogenous inputs (NARX) for adaptive beamforming on smart antennas. As a beamformer, NARX receives the angles of arrival of incoming signals to extract the complex feeding weights that produce the appropriate antenna radiation pattern. In order to demonstrate the potential of such an implementation, we test our model on a realistic linear antenna array composed of 16 microstrip elements. We use the null steering beamforming technique to produce the datasets needed for training and testing of our model and then we evaluate the accuracy of the radiation patterns produced by this model. To further demonstrate the efficiency of the NARX implementation, we also make a comparison with a feed-forward neural network that has the same architecture with that of NARX.

KW - Training

KW - Adaptation models

KW - Microstrip antenna arrays

KW - Array signal processing

KW - Adaptive arrays

KW - Receiving antennas

KW - Brain modelling

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U2 - 10.23919/AT-AP-RASC54737.2022.9814406

DO - 10.23919/AT-AP-RASC54737.2022.9814406

M3 - Conference contribution

AN - SCOPUS:85134880549

SN - 9781665499866

BT - 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd URSI Atlantic and Asia Pacific Radio Science Meeting

Y2 - 29 May 2022 through 3 June 2022

ER -

A Novel Utilization of NARX for Antenna Array Adaptive Beamforming

Abstract

Conference

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MOTOR5G: H2020 ITN MOTOR5G : MObility and Training fOR beyond 5G Ecosystems

H2020 RISE RECOMBINE: Research Collaboration and Mobility for Beyond 5G Future Wireless Networks

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A Novel Utilization of NARX for Antenna Array Adaptive Beamforming

Abstract

Conference

UN SDGs

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Projects

MOTOR5G: H2020 ITN MOTOR5G : MObility and Training fOR beyond 5G Ecosystems

H2020 RISE RECOMBINE: Research Collaboration and Mobility for Beyond 5G Future Wireless Networks

Cite this