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Alternative Title
Name pinyin
XIONG Haoqiu
School number
0809 电子科学与技术
Subject category of dissertation
08 工学
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      室内感知,作为未来智能家居和物联网场景下的核心技术具有重要的研究意义。Wi-Fi由于其低成本、易部署等特征逐渐成为室内感知的研究热点。于此同时,2020年9月工业界也设立了IEEE 802.11bf工作组,旨在提高Wi-Fi感知的可靠性和效率以推进全新应用落地。目前的研究现状表明,Wi-Fi感知仍然面临着以下几大挑战:CSI信号受到严重相位噪声的影响,包括频率偏移和时钟偏移;具体应用案例中算法鲁棒性和泛化性不高,本文中应用案例为跌倒检测。
      本文基于以上观察建立了Wi-Fi CSI信号的相位噪声模型,并采用双天线的方案来消除相位噪声以恢复真实相位。基于此,本文提出了鲁棒性和泛化性较优的跌倒检测方案。本文所提出的跌倒检测算法从CSI矩阵中提取多维度的综合特征以提高检测的稳定性,并在不同的多径场景下验证了算法的性能,结果显示系统的跌倒检测率高达90%以上。

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References List

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熊浩球. 基于Wi-Fi信号的室内感知技术研究[D]. 深圳. 南方科技大学,2022.
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