On the Fractional Fourier Transform for FMCW Radar Interference Mitigation

Christian Oswald; Josef Kulmer; Franz Pernkopf

doi:10.1109/RadarConf2559087.2025.11205018

On the Fractional Fourier Transform for FMCW Radar Interference Mitigation

Institute of Signal Processing and Speech Communication (4420)

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

Abstract

In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing chain including our DFrFT-based IM for real-valued receivers, which we compare to reference algorithms on a synthetic data set. We then reduce computational complexity by reformulating DFrFT-based IM in terms of sparse update signals, which enables mitigation of multiple interferences simultaneously. Finally, we conduct a case study on measurement data and show that our method is compatible with real-world environments.

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	IEEE
Pages	781-786
Number of pages	6
ISBN (Electronic)	979-8-3315-4433-1
DOIs	https://doi.org/10.1109/RadarConf2559087.2025.11205018
Publication status	Published - 27 Oct 2025
Event	2025 IEEE Radar Conference, RadarConf 2025 - Krakow, Poland Duration: 4 Oct 2025 → 10 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
Abbreviated title	RadarConf25
Country/Territory	Poland
City	Krakow
Period	4/10/25 → 10/10/25

Keywords

chirp interference
digital I/Q
fractional Fourier transform
Frequency modulated continuous wave (FMCW) radar
interference mitigation

ASJC Scopus subject areas

Signal Processing
Instrumentation
Computer Networks and Communications

Fields of Expertise

Information, Communication & Computing

Access to Document

10.1109/RadarConf2559087.2025.11205018

Cite this

Oswald, C., Kulmer, J., & Pernkopf, F. (2025). On the Fractional Fourier Transform for FMCW Radar Interference Mitigation. In M. Rupniewski, S. Blunt, J. Misiurewicz, M. S. Greco, & B. Himed (Eds.), Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025 (pp. 781-786). (Proceedings of the IEEE Radar Conference). IEEE. https://doi.org/10.1109/RadarConf2559087.2025.11205018

On the Fractional Fourier Transform for FMCW Radar Interference Mitigation. / Oswald, Christian; Kulmer, Josef; Pernkopf, Franz.
Proceedings of the 2025 IEEE Radar Conference, RadarConf 2025. ed. / Marek Rupniewski; Shannon Blunt; Jacek Misiurewicz; Maria Sabrina Greco; Braham Himed. IEEE, 2025. p. 781-786 (Proceedings of the IEEE Radar Conference).

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

Oswald, C, Kulmer, J & Pernkopf, F 2025, On the Fractional Fourier Transform for FMCW Radar Interference Mitigation. 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, IEEE, pp. 781-786, 2025 IEEE Radar Conference, RadarConf 2025, Krakow, Poland, 4/10/25. https://doi.org/10.1109/RadarConf2559087.2025.11205018

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title = "On the Fractional Fourier Transform for FMCW Radar Interference Mitigation",

abstract = "In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing chain including our DFrFT-based IM for real-valued receivers, which we compare to reference algorithms on a synthetic data set. We then reduce computational complexity by reformulating DFrFT-based IM in terms of sparse update signals, which enables mitigation of multiple interferences simultaneously. Finally, we conduct a case study on measurement data and show that our method is compatible with real-world environments.",

keywords = "chirp interference, digital I/Q, fractional Fourier transform, Frequency modulated continuous wave (FMCW) radar, interference mitigation",

author = "Christian Oswald and Josef Kulmer and Franz Pernkopf",

year = "2025",

month = oct,

day = "27",

doi = "10.1109/RadarConf2559087.2025.11205018",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

publisher = "IEEE",

pages = "781--786",

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",

address = "United States",

note = "2025 IEEE Radar Conference, RadarConf 2025, RadarConf25 ; Conference date: 04-10-2025 Through 10-10-2025",

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AU - Pernkopf, Franz

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N2 - In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing chain including our DFrFT-based IM for real-valued receivers, which we compare to reference algorithms on a synthetic data set. We then reduce computational complexity by reformulating DFrFT-based IM in terms of sparse update signals, which enables mitigation of multiple interferences simultaneously. Finally, we conduct a case study on measurement data and show that our method is compatible with real-world environments.

AB - In this paper, we extend our method [1] for FMCW radar mutual interference mitigation (IM) based on the discrete fractional Fourier transform (DFrFT). Firstly, we propose a radar signal processing chain including our DFrFT-based IM for real-valued receivers, which we compare to reference algorithms on a synthetic data set. We then reduce computational complexity by reformulating DFrFT-based IM in terms of sparse update signals, which enables mitigation of multiple interferences simultaneously. Finally, we conduct a case study on measurement data and show that our method is compatible with real-world environments.

KW - chirp interference

KW - digital I/Q

KW - fractional Fourier transform

KW - Frequency modulated continuous wave (FMCW) radar

KW - interference mitigation

UR - https://www.scopus.com/pages/publications/105022503539

U2 - 10.1109/RadarConf2559087.2025.11205018

DO - 10.1109/RadarConf2559087.2025.11205018

M3 - Conference paper

T3 - Proceedings of the IEEE Radar Conference

SP - 781

EP - 786

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 - IEEE

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Y2 - 4 October 2025 through 10 October 2025

ER -

On the Fractional Fourier Transform for FMCW Radar Interference Mitigation

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Access to Document

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Fingerprint

REPAIR - Robust and ExPlainable AI for Radarsensors

Cite this

On the Fractional Fourier Transform for FMCW Radar Interference Mitigation

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

Access to Document

Other files and links

Fingerprint

Projects

REPAIR - Robust and ExPlainable AI for Radarsensors

Cite this