使用实用的相位转移模型的RIS辅助近场定位
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Updated: Jul 2, 2025
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Implementation of a Reference Interferometer for Nanodetection
Published on: April 26, 2014
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Saber Hassouna1, Muhammad Ali Jamshed2, Masood Ur-Rehman2
1James Watt School of Engineering, University of Glasgow, Glasgow, UK. s.hassouna.1@research.gla.ac.uk.
Scientific reports
|February 22, 2024
概括
本研究研究了使用可重新配置智能表面 (RIS) 的用户设备本地化. 结果表明,现实的振幅模型与统一假设不同,提高了准确性,但在近距离场景中影响了数据速率.
科学领域:
- 无线通信是一种无线通信.
- 信号处理 信号处理
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 用户设备 (UE) 的准确定位对于先进的无线服务至关重要.
- 可重新配置的智能表面 (RIS) 提供了增强无线通信环境的潜力.
- 现有的模型往往过于简化了RIS行为,特别是振幅变化.
研究的目的:
- 分析用户设备本地化性能,使用上链中的基于RIS的镜头.
- 评估现实的RIS相位依赖幅度变化对定位精度和数据速率的影响.
- 提出一个简化的本地化算法,以减轻计算复杂性.
主要方法:
- 对于本地化性能进行费舍尔信息矩阵 (FIM) 分析.
- 对实际的RIS相位依赖幅度变化的建模.
- 开发基于角扩展的本地化算法.
- 位置误差边界 (PEB) 和根平均平方误差 (RMSE) 的近场区域分析.
主要成果:
- 优越的本地化性能是通过先前的位置信息来实现的.
- 现实的RIS振幅模型揭示了近场振幅值小于1的局部化误差增加和降低的数据速率.
- 对于RIS相位移的广泛使用的单位振幅假设被证明是不准确的.
结论:
- 对RIS振幅变化的现实建模对于准确的近场定位至关重要.
- 拟议的角扩展算法提供了一个计算效率高的本地化方法.
- 未来的研究应该考虑这些现实的振幅效应,以优化RIS辅助无线系统.
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