A Fingerprint Database Generation Method for RIS-Assisted Indoor Positioning

Xin Cheng

doi:10.1109/TWC.2026.3662428

2026-02-16

PRE

DOI：10.1109/TWC.2026.3662428

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摘要

En 中文

可重构智能表面（RIS）已作为一种有前景的技术出现，用于增强室内无线通信和感知性能。然而，由于缺乏现实且空间一致性的信道建模方法，构建可靠的基于接收信号强度（RSS）的RIS辅助室内定位指纹数据库仍然是一个开放性挑战。在本文中，我们提出了一种具有开源代码的新型方法，用于生成RIS辅助的RSS指纹数据库。我们的方法通过扩展的基于簇的信道建模以及RIS和发射机（Tx）的物理和电磁特性，捕获复杂的RIS辅助多径行为。并且在模拟指纹数据在邻近位置上的采集时，融入了空间一致性。此外，提出了一种有效的排序算法以解决在线同步问题，提出了一种封闭形式的RIS相位配置策略以提高定位精度，并提供了互耦（MC）效应的建模方法。进行了广泛的仿真以评估由所提出方法生成的指纹数据库。并且分析了使用不同算法在该数据库上的定位性能，为系统设计提供了有价值的见解。

Keyword:

Indoor positioning

fingerprint database

reconfigurable intelligent surface

channel modeling

期刊

IEEE Transactions on Wireless Communications

IF:

10.7

论文数:

1.3W

被引数:

5.3W

机构

hohai university

学者数:

6.2K

论文数: 2.5K

被引数: 0

Hainan University

学者数:

2.0W

论文数: 1.2W

被引数: 1.9W

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