NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems

Serkan Ucan; Mustafa Atahan Nuhoglu; Berkin Yildirim; Hakan Ali Cirpan

doi:10.1109/RadarConf2559087.2025.11204949

NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems

Serkan Ucan, Mustafa Atahan Nuhoglu, Berkin Yildirim, Hakan Ali Cirpan

Department of Electronics and Communication Engineering

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

Abstract

In this study, we show that an electronic warfare system can find the target radar's North East Down (NED) azimuth and elevation angles using only body azimuth measurements. We develop two different approaches utilizing non-convex optimization and deep learning based image segmentation methods. The optimization methods work directly on body azimuth measurements and platform maneuver angles. At the same time, the image segmentation models process two-dimensional preprocessed images in which the target NED angles appear as the intersection of curves. Quantitative results show that deep image segmentation methods provide superior performance compared to the optimization methods.

Original language	English
Title of host publication	Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025
Editors	Marek Rupniewski, Shannon Blunt, Jacek Misiurewicz, Maria Sabrina Greco, Braham Himed
Publisher	Institute of Electrical and Electronics Engineers
Pages	1496-1501
Number of pages	6
ISBN (Electronic)	9798331544331
DOIs	https://doi.org/10.1109/RadarConf2559087.2025.11204949
Publication status	Published - 2025
Event	2025 IEEE Radar Conference, RadarConf 2025 - Krakow, Poland Duration: 4 Oct 2025 → 9 Oct 2025

Publication series

Name	Proceedings of the IEEE Radar Conference
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2025 IEEE Radar Conference, RadarConf 2025
Country/Territory	Poland
City	Krakow
Period	4/10/25 → 9/10/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

deep learning
detection
electronic warfare
image segmentation
optimization
radar
rotation
tracking

Access to Document

10.1109/RadarConf2559087.2025.11204949

Cite this

Ucan, S., Nuhoglu, M. A., Yildirim, B., & Cirpan, H. A. (2025). NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems. In M. Rupniewski, S. Blunt, J. Misiurewicz, M. S. Greco, & B. Himed (Eds.), Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025 (pp. 1496-1501). (Proceedings of the IEEE Radar Conference). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/RadarConf2559087.2025.11204949

Ucan, Serkan ; Nuhoglu, Mustafa Atahan ; Yildirim, Berkin et al. / NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems. Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025. editor / Marek Rupniewski ; Shannon Blunt ; Jacek Misiurewicz ; Maria Sabrina Greco ; Braham Himed. Institute of Electrical and Electronics Engineers, 2025. pp. 1496-1501 (Proceedings of the IEEE Radar Conference).

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title = "NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems",

abstract = "In this study, we show that an electronic warfare system can find the target radar's North East Down (NED) azimuth and elevation angles using only body azimuth measurements. We develop two different approaches utilizing non-convex optimization and deep learning based image segmentation methods. The optimization methods work directly on body azimuth measurements and platform maneuver angles. At the same time, the image segmentation models process two-dimensional preprocessed images in which the target NED angles appear as the intersection of curves. Quantitative results show that deep image segmentation methods provide superior performance compared to the optimization methods.",

keywords = "deep learning, detection, electronic warfare, image segmentation, optimization, radar, rotation, tracking",

author = "Serkan Ucan and Nuhoglu, \{Mustafa Atahan\} and Berkin Yildirim and Cirpan, \{Hakan Ali\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Radar Conference, RadarConf 2025 ; Conference date: 04-10-2025 Through 09-10-2025",

year = "2025",

doi = "10.1109/RadarConf2559087.2025.11204949",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "1496--1501",

editor = "Marek Rupniewski and Shannon Blunt and Jacek Misiurewicz and Greco, \{Maria Sabrina\} and Braham Himed",

booktitle = "Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025",

}

Ucan, S, Nuhoglu, MA, Yildirim, B & Cirpan, HA 2025, NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems. in M Rupniewski, S Blunt, J Misiurewicz, MS Greco & B Himed (eds), Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025. Proceedings of the IEEE Radar Conference, Institute of Electrical and Electronics Engineers, pp. 1496-1501, 2025 IEEE Radar Conference, RadarConf 2025, Krakow, Poland, 4/10/25. https://doi.org/10.1109/RadarConf2559087.2025.11204949

NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems. / Ucan, Serkan; Nuhoglu, Mustafa Atahan; Yildirim, Berkin et al.
Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025. ed. / Marek Rupniewski; Shannon Blunt; Jacek Misiurewicz; Maria Sabrina Greco; Braham Himed. Institute of Electrical and Electronics Engineers, 2025. p. 1496-1501 (Proceedings of the IEEE Radar Conference).

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

TY - GEN

T1 - NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems

AU - Ucan, Serkan

AU - Nuhoglu, Mustafa Atahan

AU - Yildirim, Berkin

AU - Cirpan, Hakan Ali

PY - 2025

Y1 - 2025

N2 - In this study, we show that an electronic warfare system can find the target radar's North East Down (NED) azimuth and elevation angles using only body azimuth measurements. We develop two different approaches utilizing non-convex optimization and deep learning based image segmentation methods. The optimization methods work directly on body azimuth measurements and platform maneuver angles. At the same time, the image segmentation models process two-dimensional preprocessed images in which the target NED angles appear as the intersection of curves. Quantitative results show that deep image segmentation methods provide superior performance compared to the optimization methods.

AB - In this study, we show that an electronic warfare system can find the target radar's North East Down (NED) azimuth and elevation angles using only body azimuth measurements. We develop two different approaches utilizing non-convex optimization and deep learning based image segmentation methods. The optimization methods work directly on body azimuth measurements and platform maneuver angles. At the same time, the image segmentation models process two-dimensional preprocessed images in which the target NED angles appear as the intersection of curves. Quantitative results show that deep image segmentation methods provide superior performance compared to the optimization methods.

KW - deep learning

KW - detection

KW - electronic warfare

KW - image segmentation

KW - optimization

KW - radar

KW - rotation

KW - tracking

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U2 - 10.1109/RadarConf2559087.2025.11204949

DO - 10.1109/RadarConf2559087.2025.11204949

M3 - Conference contribution

AN - SCOPUS:105022460311

T3 - Proceedings of the IEEE Radar Conference

SP - 1496

EP - 1501

BT - Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025

A2 - Rupniewski, Marek

A2 - Blunt, Shannon

A2 - Misiurewicz, Jacek

A2 - Greco, Maria Sabrina

A2 - Himed, Braham

PB - Institute of Electrical and Electronics Engineers

T2 - 2025 IEEE Radar Conference, RadarConf 2025

Y2 - 4 October 2025 through 9 October 2025

ER -

Ucan S, Nuhoglu MA, Yildirim B, Cirpan HA. NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems. In Rupniewski M, Blunt S, Misiurewicz J, Greco MS, Himed B, editors, Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025. Institute of Electrical and Electronics Engineers. 2025. p. 1496-1501. (Proceedings of the IEEE Radar Conference). doi: 10.1109/RadarConf2559087.2025.11204949

NED Angle Estimation Using Optimization and Image Segmentation Approaches in Electronic Warfare Systems

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Keywords

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