Terahertz channel modeling based on surface sensing characteristics
Fuente:
arXiv
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| Autores principales: | , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914908191326208 |
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| author | Cui, Jiayuan Li, Da Zhao, Jiabiao Liu, Jiacheng Liu, Guohao He, Xiangkun Su, Yue Song, Fei Li, Peian Ma, Jianjun |
| author_facet | Cui, Jiayuan Li, Da Zhao, Jiabiao Liu, Jiacheng Liu, Guohao He, Xiangkun Su, Yue Song, Fei Li, Peian Ma, Jianjun |
| contents | The dielectric properties of environmental surfaces, including walls, floors and the ground, etc., play a crucial role in shaping the accuracy of terahertz (THz) channel modeling, thereby directly impacting the effectiveness of communication systems. Traditionally, acquiring these properties has relied on methods such as terahertz time-domain spectroscopy (THz-TDS) or vector network analyzers (VNA), demanding rigorous sample preparation and entailing a significant expenditure of time. However, such measurements are not always feasible, particularly in novel and uncharacterized scenarios. In this work, we propose a new approach for channel modeling that leverages the inherent sensing capabilities of THz channels. By comparing the results obtained through channel sensing with that derived from THz-TDS measurements, we demonstrate the method's ability to yield dependable surface property information. The application of this approach in both a miniaturized cityscape scenario and an indoor environment has shown consistency with experimental measurements, thereby verifying its effectiveness in real-world settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_02661 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Terahertz channel modeling based on surface sensing characteristics Cui, Jiayuan Li, Da Zhao, Jiabiao Liu, Jiacheng Liu, Guohao He, Xiangkun Su, Yue Song, Fei Li, Peian Ma, Jianjun Applied Physics Signal Processing The dielectric properties of environmental surfaces, including walls, floors and the ground, etc., play a crucial role in shaping the accuracy of terahertz (THz) channel modeling, thereby directly impacting the effectiveness of communication systems. Traditionally, acquiring these properties has relied on methods such as terahertz time-domain spectroscopy (THz-TDS) or vector network analyzers (VNA), demanding rigorous sample preparation and entailing a significant expenditure of time. However, such measurements are not always feasible, particularly in novel and uncharacterized scenarios. In this work, we propose a new approach for channel modeling that leverages the inherent sensing capabilities of THz channels. By comparing the results obtained through channel sensing with that derived from THz-TDS measurements, we demonstrate the method's ability to yield dependable surface property information. The application of this approach in both a miniaturized cityscape scenario and an indoor environment has shown consistency with experimental measurements, thereby verifying its effectiveness in real-world settings. |
| title | Terahertz channel modeling based on surface sensing characteristics |
| topic | Applied Physics Signal Processing |
| url | https://arxiv.org/abs/2404.02661 |