在集成传感和通信系统中的自适应通道状态信息反
Neeraj Varshney1, Samuel Berweger2, Jack Chuang3
1Radio Access and Propagation Metrology Group, National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899-6730 USA and contractor with Prometheus Computing LLC, Cullowhee, NC USA.
IEEE internet of things journal
|February 13, 2024
概括
这项研究通过使用通道状态信息 (CSI) 报告的门来减少集成传感和通信系统的反. 这种方法减少了50%的反,同时保持了人类运动检测的准确传感性能.
科学领域:
- 无线通信是一种无线通信.
- 信号处理 信号处理
- 传感系统 传感系统
背景情况:
- 集成的传感和通信系统旨在最大限度地减少信号的开销.
- 降低道状态信息 (CSI) 的反率对于高效的系统设计至关重要.
- 当前的方法在量化道变化和确定减少反的最佳值方面面临挑战.
研究的目的:
- 提出一个基于值的程序来降低集成传感和通信系统中的CSI反率.
- 用欧几里德距离,时间逆转和频率逆转共振强度等指标量化频道变化.
- 开发适应性值和重建方案,以实现精确的传感,并尽量减少反.
主要方法:
- 使用欧几里德距离,时间逆转共振强度和频率逆转共振强度量化频道变化.
- 设计了一个自适应算法来选择值,尽量减少反率,同时确保传感准确度.
- 提出了两个重建方案,以提高不规则通道测量的精度.
- 使用真实和合成通道测量评估性能,考虑到估计和同步错误.
主要成果:
- 实现了50%的反量减少,同时保持了对距离和速度估计的良好传感性能.
- 证明欧几里德距离度量有效地捕捉了高频道变化的多样化人类运动.
- 验证了拟议方案的稳定性,以防道估计和同步错误.
结论:
- 提出的基于值的CSI反减少程序对于集成传感和通信系统是有效的.
- 适应性值和重建方案可以提高传感精度,并最大限度地降低反率.
- 欧几里德距离是捕捉高频道变化场景中人类运动特征的优越度量.
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