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基于Wi-Fi Sensing的无感检测技术OA

中文摘要英文摘要

随着智能家居的推广普及,对于移动物体的行为感知成为热点技术.相比于传统的信息检测技术,新型的基于Wi-Fi信号的设备无关被动入侵检测,能够在无需用户做任何干预也不影响人员隐私安全的情况下实现对于行为的检测判断,这和使用摄像头或红外检测形成显著差异,成为研究热点.该文基于Wi-Fi芯片平台采集物理层信道状态信息,构建与移动载体信息相关的检测模型,结合大数据分析和智能算法,给出相关的实现方案,并基于实验验证实现从无线信道中捕捉波形特征,验证方案的有效性,结合结果分析也为后续精度的进一步提升提供改进方向.

With the popularization of smart home,the behavior perception of moving objects has become a hot technology.Compared with the traditional information detection technology,the new device independent passive intrusion detection based on Wi-Fi signal can detect and judge the behavior without any user intervention and without affecting the privacy security of personnel,which is significantly different from the use of camera or infrared detection,and has become a research hotspot.In this paper,the channel state information of the physical layer is collected based on the Wi-Fi chip platform,and the detection model related to the mobile carrier information is constructed.Based on big data analysis and intelligent algorithm,the relevant implementation scheme is given,and the waveform features are captured from the wireless channel based on experimental verification,which verifies the effectiveness of the scheme.The analysis of the results also provides a direction for further improvement of the follow-up accuracy.

车忠辉;车晨畅;解仲坤

中兴通讯股份有限公司,西安 710075中国人民大学 明理书院 数学学院,北京 100872

电子信息工程

Wi-Fi感知信道状态信息入侵检测大数据处理检测模型

Wi-Fi awarenesschannel state informationintrusion detectionbig data processingdetection model

《科技创新与应用》 2024 (012)

1-5 / 5

10.19981/j.CN23-1581/G3.2024.12.001

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