ELAA Near-Field Localization and Sensing with Partial Blockage Detection
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866913244051931136 |
|---|---|
| author | Chen, Hui Zheng, Pinjun Ge, Yu Elzanaty, Ahmed He, Jiguang Al-Naffouri, Tareq Y. Wymeersch, Henk |
| author_facet | Chen, Hui Zheng, Pinjun Ge, Yu Elzanaty, Ahmed He, Jiguang Al-Naffouri, Tareq Y. Wymeersch, Henk |
| contents | High-frequency communication systems bring extremely large aperture arrays (ELAA) and large bandwidths, integrating localization and (bi-static) sensing functions without extra infrastructure. Such systems are likely to operate in the near-field (NF), where the performance of localization and sensing is degraded if a simplified far-field channel model is considered. However, when taking advantage of the additional geometry information in the NF, e.g., the encapsulated information in the wavefront, localization and sensing performance can be improved. In this work, we formulate a joint synchronization, localization, and sensing problem in the NF. Considering the array size could be much larger than an obstacle, the effect of partial blockage (i.e., a portion of antennas are blocked) is investigated, and a blockage detection algorithm is proposed. The simulation results show that blockage greatly impacts performance for certain positions, and the proposed blockage detection algorithm can mitigate this impact by identifying the blocked antennas. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_15857 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ELAA Near-Field Localization and Sensing with Partial Blockage Detection Chen, Hui Zheng, Pinjun Ge, Yu Elzanaty, Ahmed He, Jiguang Al-Naffouri, Tareq Y. Wymeersch, Henk Signal Processing High-frequency communication systems bring extremely large aperture arrays (ELAA) and large bandwidths, integrating localization and (bi-static) sensing functions without extra infrastructure. Such systems are likely to operate in the near-field (NF), where the performance of localization and sensing is degraded if a simplified far-field channel model is considered. However, when taking advantage of the additional geometry information in the NF, e.g., the encapsulated information in the wavefront, localization and sensing performance can be improved. In this work, we formulate a joint synchronization, localization, and sensing problem in the NF. Considering the array size could be much larger than an obstacle, the effect of partial blockage (i.e., a portion of antennas are blocked) is investigated, and a blockage detection algorithm is proposed. The simulation results show that blockage greatly impacts performance for certain positions, and the proposed blockage detection algorithm can mitigate this impact by identifying the blocked antennas. |
| title | ELAA Near-Field Localization and Sensing with Partial Blockage Detection |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2402.15857 |