RIS Nearfield Position and Velocity Estimation Using a Validated Propagation Model
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910021560827904 |
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| author | Zemen, Thomas Keskin, Musa Furkan Rahal, Moustafa Wilding, Thomas Radpour, Hamed Hofer, Markus Denis, Benoit Wymeersch, Henk |
| author_facet | Zemen, Thomas Keskin, Musa Furkan Rahal, Moustafa Wilding, Thomas Radpour, Hamed Hofer, Markus Denis, Benoit Wymeersch, Henk |
| contents | We investigate reconfigurable intelligent surfaces (RISs) for the task of position and velocity estimation in non-LOS (NLOS) indoor scenarios, using a snapshot based multi-step estimation algorithm. We evaluate a compound RIS structure prototype composed of four RIS tiles with 1-bit phase control per RIS unit cell. Numerical simulation results taking the antenna patterns into account are presented for an 3 m x 3 m area of interest. We demonstrate that the initial grid search step using the far field assumption is not robust enough for small distances to the RIS center and propose a more robust algorithm. Furthermore, we show that the effect of the antenna pattern causes an increased position and velocity error. Our modified three-step algorithm achieves a position error of 7 mm and a velocity error of 0.12 m/s at a distance of 2 m to the RIS center under a realistic numerical propagation model. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_12979 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | RIS Nearfield Position and Velocity Estimation Using a Validated Propagation Model Zemen, Thomas Keskin, Musa Furkan Rahal, Moustafa Wilding, Thomas Radpour, Hamed Hofer, Markus Denis, Benoit Wymeersch, Henk Signal Processing We investigate reconfigurable intelligent surfaces (RISs) for the task of position and velocity estimation in non-LOS (NLOS) indoor scenarios, using a snapshot based multi-step estimation algorithm. We evaluate a compound RIS structure prototype composed of four RIS tiles with 1-bit phase control per RIS unit cell. Numerical simulation results taking the antenna patterns into account are presented for an 3 m x 3 m area of interest. We demonstrate that the initial grid search step using the far field assumption is not robust enough for small distances to the RIS center and propose a more robust algorithm. Furthermore, we show that the effect of the antenna pattern causes an increased position and velocity error. Our modified three-step algorithm achieves a position error of 7 mm and a velocity error of 0.12 m/s at a distance of 2 m to the RIS center under a realistic numerical propagation model. |
| title | RIS Nearfield Position and Velocity Estimation Using a Validated Propagation Model |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2602.12979 |