Speed Estimation Using Commercial Wi-Fi Device in Smart Home

• 作者: TIAN Zengshan YE Chenglin ZHANG Gongzhui HE Wei JIN Yue
• 来源期刊: 中兴通讯技术（英文版）
• 年，卷（期）: 2021,（2）
• 所属期刊栏目: Special Topic Edge Intelligence for Internet of Things
• 页码范围: 44-52
• 页数: 9页
• 语种: 英文
• DOI: 10.12142/ZTECOM.202102006

摘要

With the development of Internet of Things (IoT), the speed estimation technology has attracted significant attention in the field of indoor security, intelligent home and person?alized service. Due to the indoor multipath propagation, the speed information is implicit in the motion-induced reflected signal. Thus, the wireless signal can be leveraged to measure the speed of moving target. Among existing speed estimation approaches, users need to ei?ther carry a specialized device or walk in a predefined route. Wi-Fi based approaches pro?vide an alternative solution in a device-free way. In this paper, we propose a direction inde?pendent indoor speed estimation system in terms of Electromagnetic (EM) wave statistical theory. Based on the statistical characteristics of EM waves, we establish the deterministic relationship between the Autocorrelation Function (ACF) of Channel State Information (CSI) and the speed of a moving target. Extensive experiments show that the system achieves a me?dian error of 0.18 m/s for device-free single target walking speed estimation.