Gaussian Process-Based Extended Object Estimation for 6G ISAC at Millimeter-Wave Frequencies

Fuente: arXiv
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Autori principali: Pihtili, M. Ertug, Kaltiokallio, Ossi, Equi, Julia, Talvitie, Jukka, Lohan, Elena Simona, Basar, Ertugrul, Valkama, Mikko
Natura: Preprint
Pubblicazione: 2026
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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