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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2510.16389 |
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| _version_ | 1866908600718327808 |
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| author | Luo, Yubin Yu, Li Wu, Tao Zhang, Yuxiang Zhang, Jianhua |
| author_facet | Luo, Yubin Yu, Li Wu, Tao Zhang, Yuxiang Zhang, Jianhua |
| contents | Digital twin (DT) is a core enabler of sixth generation (6G) mobile systems. As a prerequisite for DT, scatterer geometric reconstruction (SGR) in propagation environments is essential but typically requires extra sensors such as cameras and LiDAR. With integrated sensing and communication (ISAC) in 6G, we reinterpret the linear sampling method (LSM) from a wireless channel viewpoint and propose a CSI based variant for sensor free SGR: by exploiting the shared channel characteristics of multipath and scattering, in band CSI replaces the scattered field measurements usually required by LSM. However, aperture limited arrays reduce LSM robustness. To address this, we propose matched filtering enhanced multi frequency LSM (MF MLSM). Multi frequency data increases frequency diversity, and matched filtering coherently aligns inter frequency phases to avoid artifacts, both of which improve robustness. Experiments with apertures of 93.6 deg, 144 deg, and 180 deg and SNRs of 27 dB and 12 dB demonstrate robust SGR with this approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_16389 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Robust CSI-Based Scatterer Geometric Reconstruction Method for 6G ISAC System Luo, Yubin Yu, Li Wu, Tao Zhang, Yuxiang Zhang, Jianhua Signal Processing Digital twin (DT) is a core enabler of sixth generation (6G) mobile systems. As a prerequisite for DT, scatterer geometric reconstruction (SGR) in propagation environments is essential but typically requires extra sensors such as cameras and LiDAR. With integrated sensing and communication (ISAC) in 6G, we reinterpret the linear sampling method (LSM) from a wireless channel viewpoint and propose a CSI based variant for sensor free SGR: by exploiting the shared channel characteristics of multipath and scattering, in band CSI replaces the scattered field measurements usually required by LSM. However, aperture limited arrays reduce LSM robustness. To address this, we propose matched filtering enhanced multi frequency LSM (MF MLSM). Multi frequency data increases frequency diversity, and matched filtering coherently aligns inter frequency phases to avoid artifacts, both of which improve robustness. Experiments with apertures of 93.6 deg, 144 deg, and 180 deg and SNRs of 27 dB and 12 dB demonstrate robust SGR with this approach. |
| title | A Robust CSI-Based Scatterer Geometric Reconstruction Method for 6G ISAC System |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2510.16389 |