Abstract：With the rapid development of information technology, people's living standards have been continuously improved. The traditional home security methods can not meet people's needs. The intelligent home security monitoring method based on sensors and video images is inconvenient to install, involves privacy and is not easy to deal with privacy issues. In order to make up for the blank of the current wireless signal for the anti-theft monitoring of smart home, this paper proposes a method of anti-theft monitoring of smart home based on WiFi channel state information (CSI). The channel state information of WiFi signal is collected, and the data is denoised by Kalman filter. K-nearest neighbor (KNN) algorithm is used to classify the data. Finally, it can realize static, open door, open window monitoring of three indoor environments, and achieve the purpose of intelligent home anti-theft monitoring.
郭阿英, 许志猛, 余向阳. 一种基于信道状态信息的智能家居防盗监测方法[J]. 电气技术, 2019, 20(12): 13-16.
Guo Aying, Xu Zhimeng, Yu Xiangyang. A method of home anti-theft monitoring based on channel state information. Electrical Engineering, 2019, 20(12): 13-16.
2019, Vol. 20 
