WiFi-based indoor personnel location monitoring method

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Dang, Xiaochao^1^2 ; Zhang, Tong^1 ; Hao, Zhanjun^1^2

College of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu

730070, China^1

Gansu Province Internet of Things Engineering Research Center, Northwest Normal University, Lanzhou, Gansu

730070, China^2

关键词: Amplitude information;    Personnel locations;    Personnel positioning;    Precise positioning;    Real time positioning;    Resource consumption;    Status informations;    Wireless communication technology;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/3/032076/pdf
DOI  :  10.1088/1757-899X/569/3/032076

来源: IOP

【 摘 要 】

With the development of wireless communication technology, WiFi-based indoor personnel positioning has received more and more attention. The channel state information (CSI) extracted from the commercial network card can be used to determine the position status of the indoor personnel. In this paper, we propose a method based on WiFi personnel to determine the presence and intrusion of indoor personnel by real-time positioning of personnel. The method uses principal component analysis to preproces the data, extracts the main features in the amplitude information, and uses the support vector machine (SVM) to realize the training and classification of indoor position samples, and uses the obtained indoor position status information to determine the regional invasion situation and the specific location of the personnel. Experiments show that this method can effectively judge the intrusion of people in specific areas of the city and achieve precise positioning under the condition of low resource consumption.