| 薛明明* **,刘之洋*,吴虹* **.面向室内人员被动感知的CSI幅值平稳性分析方法[J].高技术通讯(中文),2023,33(2):146~155 |
| 面向室内人员被动感知的CSI幅值平稳性分析方法 |
| Analysis method of CSI amplitude stationarity for passive perception of indoor personnel |
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| DOI：10. 3772/ j. issn. 1002-0470. 2023. 02. 004 |
| 中文关键词: 单接入点； 人员被动感知； 信道状态信息(CSI)； 平稳性分析； 双阈值 |
| 英文关键词: single access point， passive human perception， channel state information (CSI)， stationarity analysis， dual thresholds |
| 基金项目: |
| 作者 | 单位 | | 薛明明* ** | (*南开大学电子信息与光学工程学院天津 300350)
(**天津市光电传感器与传感网络技术重点实验室天津 300350) | | 刘之洋* | (*南开大学电子信息与光学工程学院天津 300350)
(**天津市光电传感器与传感网络技术重点实验室天津 300350) | | 吴虹* ** | (*南开大学电子信息与光学工程学院天津 300350)
(**天津市光电传感器与传感网络技术重点实验室天津 300350) |
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| 中文摘要: |
| 室内复杂环境下，多径效应导致无线信号的接收信号强度（RSS）分辨率较低，非视距条件造成室内人员的检测准确率不佳，现有技术对室内静态人员的漏检率与设备成本偏高，且构建系统较复杂。针对以上问题，提出一种仅使用单接入点（AP）的面向室内人员被动感知的信道状态信息（CSI）幅值平稳性分析方法。首先对采集的CSI提取幅值矩阵并进行数据预处理；在此基础上分别计算CSI幅值的全局稳定度与局部稳定度，最终基于双阈值联合判定方法实现室内有无人员的轻量化快速判定。实验结果表明，该方法在视距下对动态人员的被动感知准确率达99.6%，在非视距条件下对静态人员感知准确率仍可达91.87%。该方法突破了需要携带并修改设备、部署传感器和视距等条件限制，在降低成本的同时有效提高了系统的可靠性与易用性。 |
| 英文摘要: |
| Under the complex indoor environment, received signal strength (RSS) resolution of the wireless signal is lower caused by the multipath effects, and non-line-of-sight (NLOS) condition makes the detection accuracy of indoor personnel worse. However, the cost of detection equipment used in the prior art is relatively high and the construction of the system is more complicated. Aiming at these problems, this paper proposes an analysis method of channel status information (CSI) amplitude stationarity for passive perception of indoor personnel using only one access point (AP). First, this method extracts the amplitude matrix from the collected CSI and preprocess the data. On this basis, the global stability(GS) and local stability(LS) of CSI amplitudes are calculated respectively. Finally, the presence or absence of personnel in the room is judged quickly based on the lightweight dual-threshold joint judgment method. Experimental results show that the accuracy of passive perception for dynamic personnel is 99.6% under line-of-sight (LOS) conditions, and the perception accuracy for static personnel can still reach 91.87% under NLOS conditions. This method breaks through the limitation of carrying and modifying devices, deploying sensors, and LOS conditions, which reduces the costs and effectively improves the reliability and usability of the system. |
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