摘要
无线信号在室内易受到多径效应、小尺度衰落等影响,使得现有基于射频信号的人体移动检测方法无法保证缓慢行为识别的鲁棒性和可靠性。该文通过分析人体行为与CSI子载波的相关性发现不同子载波对人体行为存在敏感差异性,进而提出基于离散小波变换的信道状态信息子载波特征差分算法,设计设备无关的人体移动检测。在多径丰富和稀疏两种室内场景下的实验结果表明,该方法对人体移动检测的平均精度可达到93%。
Wireless signal can be easily affected by multipath effects and small scale fading in the room,which makes the existing human movement detection methods based on radio frequency signals can not guarantee the robustness and reliability of the slow movement behavior recognition. This paper finds that different subcarriers have sensitive difference to human behavior by analyzing the correlation between human behavior and CSI subcarrier. Then the channel state information subcarrier characteristic difference algorithm based on the discrete wavelet transform is proposed,and the device-free human movement detection is designed. The experimental results show that the average detection accuracy of this method can reach 93% in two kinds of indoor scenes with rich and sparse multipath.
出处
《传感技术学报》
CAS
CSCD
北大核心
2016年第12期1839-1845,共7页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目(61272466
61303233
61672448)
河北省自然科学基金项目(F2014203062
F2016203176)
河北省留学人员择优项目(CL201625)
燕山大学基础研究专项课题青年项目(16LGA009)
关键词
信道状态信息
子载波
特征差分
人体移动检测
缓慢移动
channel state information
subcarrier
characteristic difference
human movement detection
slow movement
