多距融合室内定位算法研究

目前WiFi在室内环境中使用频次高,用户在通过两个相邻AP时会发生AP切换,并累计产生大量WiFi访问日志。WiFi日志中包含定位所需的接收信号强度指示符,在定位系统中直接利用WiFi访问日志中的数据,将极大地简化定位部署复杂度。文中提出了一种在两个相邻AP环境下,基于WiFi日志的多距融合室内定位算法,并通过实验仿真将新算法与路径损耗模型定位方法进行对比。实验结果表明,新算法具有易部署、低成本、低复杂度等特点,当训练样本个数达到300时即可达到稳定定位效果。

Research on Indoor Positioning Algorithm for Multi-distance Fusion

Currently, WiFi is frequently used in an indoor environment. The access point will be switched between two adjacent-AP, and a large number of WiFi access logs are cumulatively generated. WiFi access logs contain the received signal strength indication required for positioning, and accessing the data in the log by using the WiFi in the positioning system greatly simplifies the positioning and deployment complexity. This paper proposed a multi-distance fusion indoor positioning algorithm based on the WiFi log in two adjacent AP environments. The new algorithm was compared with the path loss model positioning method through experimental simulation. The experimental results show that the new algorithm had the characteristics of easy deployment, low cost and low complexity. When the number of training samples reached 300, the stable positioning effect could be achieved.