Reliable UAV Detection with ISAC
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arXiv
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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866914591604211712 |
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| author | Saur, Stephan Doll, Mark Grudnitsky, Artjom Mandelli, Silvio Giroto, Lucas Henninger, Marcus Wild, Thorsten |
| author_facet | Saur, Stephan Doll, Mark Grudnitsky, Artjom Mandelli, Silvio Giroto, Lucas Henninger, Marcus Wild, Thorsten |
| contents | Unmanned Aerial Vehicle (UAV) detection is one prominent use case of Integrated Sensing and Communication (ISAC) systems in 5G-Advanced and future 6G networks. In this paper, we present experimental results for the detection of a small UAV using unmodified commercial 5G hardware for mono-static Orthogonal Frequency-Division Multiplexing (OFDM) radar and compare them with the expected performance based on models for link budget and hardware impairments. We show that reliable detection with sub-meter accuracy is still possible in over 500 meters distance in a challenging radio environment rich of strong clutter. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_23561 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Reliable UAV Detection with ISAC Saur, Stephan Doll, Mark Grudnitsky, Artjom Mandelli, Silvio Giroto, Lucas Henninger, Marcus Wild, Thorsten Signal Processing Unmanned Aerial Vehicle (UAV) detection is one prominent use case of Integrated Sensing and Communication (ISAC) systems in 5G-Advanced and future 6G networks. In this paper, we present experimental results for the detection of a small UAV using unmodified commercial 5G hardware for mono-static Orthogonal Frequency-Division Multiplexing (OFDM) radar and compare them with the expected performance based on models for link budget and hardware impairments. We show that reliable detection with sub-meter accuracy is still possible in over 500 meters distance in a challenging radio environment rich of strong clutter. |
| title | Reliable UAV Detection with ISAC |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2605.23561 |