Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma

Mustafa Kucuk; Serkan Ucan; Lutfiye Durak-Ata; Hakan Ali Cirpan

doi:10.1109/SIU66497.2025.11112003

Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma

Translated title of the contribution: Low-Complexity Direction Finding with Artificial Neural Networks

Mustafa Kucuk^*
, Serkan Ucan
, Lutfiye Durak-Ata
, Hakan Ali Cirpan

^*Corresponding author for this work

ASELSAN Inc.
Istanbul Technical University

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

Abstract

In this study, an artificial neural network-based direction finding method is proposed as an alternative to traditional correlation-based direction finding algorithms. Through simulations, it has been verified that the proposed method achieves a lower root mean square error (RMSE) compared to correlative interferometer. Additionally, it has been demonstrated that the computational complexity and memory requirements of the proposed method are lower than correlation-based direction finding method. The proposed artificial neural network-based method has been validated to perform direction finding with high accuracy for frequency values not encountered in the training set during the testing phase.

Translated title of the contribution	Low-Complexity Direction Finding with Artificial Neural Networks
Original language	Turkish
Title of host publication	33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331566555
DOIs	https://doi.org/10.1109/SIU66497.2025.11112003
Publication status	Published - 2025
Event	33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Istanbul, Turkey Duration: 25 Jun 2025 → 28 Jun 2025

Publication series

Name	33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings

Conference

Conference	33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025
Country/Territory	Turkey
City	Istanbul
Period	25/06/25 → 28/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Access to Document

10.1109/SIU66497.2025.11112003

Cite this

Kucuk, M., Ucan, S., Durak-Ata, L., & Cirpan, H. A. (2025). Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma. In 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings (33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU66497.2025.11112003

Kucuk, Mustafa ; Ucan, Serkan ; Durak-Ata, Lutfiye et al. / Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma. 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. (33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings).

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title = "Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma",

abstract = "In this study, an artificial neural network-based direction finding method is proposed as an alternative to traditional correlation-based direction finding algorithms. Through simulations, it has been verified that the proposed method achieves a lower root mean square error (RMSE) compared to correlative interferometer. Additionally, it has been demonstrated that the computational complexity and memory requirements of the proposed method are lower than correlation-based direction finding method. The proposed artificial neural network-based method has been validated to perform direction finding with high accuracy for frequency values not encountered in the training set during the testing phase.",

keywords = "array signal processing, artificial neural networks, direction finding, machine learning",

author = "Mustafa Kucuk and Serkan Ucan and Lutfiye Durak-Ata and Cirpan, \{Hakan Ali\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 ; Conference date: 25-06-2025 Through 28-06-2025",

year = "2025",

doi = "10.1109/SIU66497.2025.11112003",

language = "T{\"u}rk{\c c}e",

series = "33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings",

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

booktitle = "33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings",

address = "United States",

}

Kucuk, M, Ucan, S, Durak-Ata, L & Cirpan, HA 2025, Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma. in 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings. 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025, Istanbul, Turkey, 25/06/25. https://doi.org/10.1109/SIU66497.2025.11112003

Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma. / Kucuk, Mustafa; Ucan, Serkan; Durak-Ata, Lutfiye et al.
33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. (33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings).

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

TY - GEN

T1 - Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma

AU - Kucuk, Mustafa

AU - Ucan, Serkan

AU - Durak-Ata, Lutfiye

AU - Cirpan, Hakan Ali

PY - 2025

Y1 - 2025

N2 - In this study, an artificial neural network-based direction finding method is proposed as an alternative to traditional correlation-based direction finding algorithms. Through simulations, it has been verified that the proposed method achieves a lower root mean square error (RMSE) compared to correlative interferometer. Additionally, it has been demonstrated that the computational complexity and memory requirements of the proposed method are lower than correlation-based direction finding method. The proposed artificial neural network-based method has been validated to perform direction finding with high accuracy for frequency values not encountered in the training set during the testing phase.

AB - In this study, an artificial neural network-based direction finding method is proposed as an alternative to traditional correlation-based direction finding algorithms. Through simulations, it has been verified that the proposed method achieves a lower root mean square error (RMSE) compared to correlative interferometer. Additionally, it has been demonstrated that the computational complexity and memory requirements of the proposed method are lower than correlation-based direction finding method. The proposed artificial neural network-based method has been validated to perform direction finding with high accuracy for frequency values not encountered in the training set during the testing phase.

KW - array signal processing

KW - artificial neural networks

KW - direction finding

KW - machine learning

UR - https://www.scopus.com/pages/publications/105015550926

U2 - 10.1109/SIU66497.2025.11112003

DO - 10.1109/SIU66497.2025.11112003

M3 - Konferans katkısı

AN - SCOPUS:105015550926

T3 - 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings

BT - 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025

Y2 - 25 June 2025 through 28 June 2025

ER -

Kucuk M, Ucan S, Durak-Ata L , Cirpan HA. Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma. In 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2025. (33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings). doi: 10.1109/SIU66497.2025.11112003

Yapay Sinir Aglari ile D s k Karma siklikli Y n Bulma

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