A statistical sensing method by utilizing Wi-Fi CSI subcarriers: Empirical study and performance enhancement

Journal of Information and Intelligence Pub Date : 2024-07-01 DOI:10.1016/j.jiixd.2024.05.002

Tao Deng , Bowen Zheng , Rui Du , Fan Liu , Tony Xiao Han

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Abstract

In modern Wi-Fi systems, channel state information (CSI) serves as a foundational support for various sensing applications. Currently, existing CSI-based techniques exhibit limitations in terms of environmental adaptability. As such, optimizing the utilization of subcarrier CSI stands as a critical avenue for enhancing sensing performance. Within the OFDM communication framework, this work derives sensing outcomes for both detection and estimation by harnessing the CSI from every individual measured subcarrier, subsequently consolidating these outcomes. When contrasted against results derived from CSI based on specific extraction protocols or those obtained through weighted summation, the methodology introduced in this study offers substantial improvements in CSI-based detection and estimation performance. This approach not only underscores the significance but also serves as a robust exemplar for the comprehensive application of CSI.

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利用 Wi-Fi CSI 子载波的统计传感方法：实证研究与性能提升

在现代 Wi-Fi 系统中，信道状态信息（CSI）是各种传感应用的基础支持。目前，基于 CSI 的现有技术在环境适应性方面表现出局限性。因此，优化子载波 CSI 的利用是提高传感性能的关键途径。在 OFDM 通信框架内，这项工作通过利用每个单独测量的子载波的 CSI 来获得检测和估算的传感结果，然后将这些结果进行整合。与基于特定提取协议或通过加权求和获得的 CSI 结果相比，本研究中引入的方法大大提高了基于 CSI 的检测和估计性能。这种方法不仅凸显了 CSI 的重要意义，也为 CSI 的全面应用提供了一个强有力的范例。

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Journal of Information and Intelligence

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