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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2510.22180 |
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| _version_ | 1866913008799711232 |
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| author | Bauhofer, Maximilian Henninger, Marcus Kottkamp, Meik Giroto, Lucas Grill, Philip Felix, Alexander Wild, Thorsten Brink, Stephan ten Mandelli, Silvio |
| author_facet | Bauhofer, Maximilian Henninger, Marcus Kottkamp, Meik Giroto, Lucas Grill, Philip Felix, Alexander Wild, Thorsten Brink, Stephan ten Mandelli, Silvio |
| contents | For a wide range of envisioned integrated sensing and communication (ISAC) use cases, it is necessary to incorporate tracking techniques into cellular communication systems. While numerous multi-target tracking (MTT) algorithms exist, they have not yet been applied to real-world ISAC, with its challenges such as clutter and non-optimal hardware with design emphasis on communication instead of sensing. In this work, we showcase MTT based on the probability hypothesis density (PHD) filter in the range and radial speed domain. The measurements are taken with a 5G compliant ISAC proof-of-concept in a real factory environment, where the pedestrian-like targets are generated by a radar target emulator. We detail the complete pipeline, from measurement acquisition to evaluation, with a focus on the post-processing of the raw captured data and the tracking itself. Our end-to-end evaluation and comparison to simulations show good MTT performance with mean absolute ranging error <1.5m and detection rates >91% for realistic but challenging scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_22180 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Experimental Demonstration of Multi-Target Tracking in Integrated Sensing and Communication Bauhofer, Maximilian Henninger, Marcus Kottkamp, Meik Giroto, Lucas Grill, Philip Felix, Alexander Wild, Thorsten Brink, Stephan ten Mandelli, Silvio Signal Processing For a wide range of envisioned integrated sensing and communication (ISAC) use cases, it is necessary to incorporate tracking techniques into cellular communication systems. While numerous multi-target tracking (MTT) algorithms exist, they have not yet been applied to real-world ISAC, with its challenges such as clutter and non-optimal hardware with design emphasis on communication instead of sensing. In this work, we showcase MTT based on the probability hypothesis density (PHD) filter in the range and radial speed domain. The measurements are taken with a 5G compliant ISAC proof-of-concept in a real factory environment, where the pedestrian-like targets are generated by a radar target emulator. We detail the complete pipeline, from measurement acquisition to evaluation, with a focus on the post-processing of the raw captured data and the tracking itself. Our end-to-end evaluation and comparison to simulations show good MTT performance with mean absolute ranging error <1.5m and detection rates >91% for realistic but challenging scenarios. |
| title | Experimental Demonstration of Multi-Target Tracking in Integrated Sensing and Communication |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2510.22180 |