Gaussian Process-Based Extended Object Estimation for 6G ISAC at Millimeter-Wave Frequencies
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866916049695277056 |
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| author | Pihtili, M. Ertug Kaltiokallio, Ossi Equi, Julia Talvitie, Jukka Lohan, Elena Simona Basar, Ertugrul Valkama, Mikko |
| author_facet | Pihtili, M. Ertug Kaltiokallio, Ossi Equi, Julia Talvitie, Jukka Lohan, Elena Simona Basar, Ertugrul Valkama, Mikko |
| contents | This paper introduces a Gaussian process (GP)-based method for extended object estimation (EOE) in integrated sensing and communication (ISAC) scenarios, representing a promising approach to enhance environmental awareness beyond the conventional point-scatterer assumption. The suitability of the proposed GP-based method for EOE is investigated through a practical measurement setup compliant with the fifth-generation (5G) New Radio (NR) standard and employing bistatic sensing, with results evaluated for both mapping and simultaneous localization and mapping (SLAM ) cases at millimeter-wave (mmWave) frequencies. The findings reveal that the enhanced capabilities of communication networks, when combined with bistatic sensing and GP-based EOE, enable improved environmental awareness in future wireless systems. Importantly, the results demonstrate that, under practical conditions, GP effectively performs EOE in both mmWave mapping and SLAM scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_26915 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Gaussian Process-Based Extended Object Estimation for 6G ISAC at Millimeter-Wave Frequencies Pihtili, M. Ertug Kaltiokallio, Ossi Equi, Julia Talvitie, Jukka Lohan, Elena Simona Basar, Ertugrul Valkama, Mikko Signal Processing This paper introduces a Gaussian process (GP)-based method for extended object estimation (EOE) in integrated sensing and communication (ISAC) scenarios, representing a promising approach to enhance environmental awareness beyond the conventional point-scatterer assumption. The suitability of the proposed GP-based method for EOE is investigated through a practical measurement setup compliant with the fifth-generation (5G) New Radio (NR) standard and employing bistatic sensing, with results evaluated for both mapping and simultaneous localization and mapping (SLAM ) cases at millimeter-wave (mmWave) frequencies. The findings reveal that the enhanced capabilities of communication networks, when combined with bistatic sensing and GP-based EOE, enable improved environmental awareness in future wireless systems. Importantly, the results demonstrate that, under practical conditions, GP effectively performs EOE in both mmWave mapping and SLAM scenarios. |
| title | Gaussian Process-Based Extended Object Estimation for 6G ISAC at Millimeter-Wave Frequencies |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2605.26915 |