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Study of fingerprint location algorithm based on WiFi technology for indoor localization

机译:基于WiFi技术的室内定位指纹定位算法研究

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At outdoor environment, GPS can provide accurate location services. But at indoor environment, it can not. In order to realize accurate positioning indoor, we propose a fingerprint localization algorithm based on WiFi in this paper. In the process of our research, we will divide the indoor environment that need provide accurate location services into a certain scale of virtual grid, and tag each vertex with the physical coordinates. Then use multiple wireless router indoor as WIFI signal source, and use smart phones as the target node. Sample more groups of WiFi signal strength values from each grid vertex, then the value and the physical coordinates form a position fingerprint database. In the process of localization, multiple WiFi signal strength value detected by the target node will be matched with the position fingerprint database to find out a grid vertex most closest to the target node, and regard the physical coordinates of the grid vertex as the final location information of the target node. In order to improve the positioning accuracy of the algorithm, we put the WiFi signal received by the target node into a filter, and use the least square method for error correction when calculating coordinates of the target node. Lastly, we did an experiment on the specific scenes.The experimental results show that the positioning error of fingerprint positioning algorithm based on WiFi is under the meter level at indoor environment, and the positioning accuracy can better meet the needs of business location services.
机译:在室外环境中,GPS可以提供​​准确的定位服务。但是在室内环境下却不能。为了实现室内精确定位,本文提出了一种基于WiFi的指纹定位算法。在研究过程中,我们将需要提供精确定位服务的室内环境划分为一定比例的虚拟网格,并用物理坐标标记每个顶点。然后使用室内的多个无线路由器作为WIFI信号源,并使用智能手机作为目标节点。从每个网格顶点采样更多组WiFi信号强度值,然后该值和物理坐标形成位置指纹数据库。在定位过程中,将目标节点检测到的多个WiFi信号强度值与位置指纹数据库进行匹配,找出最接近目标节点的网格顶点,并将该网格顶点的物理坐标作为最终位置。目标节点的信息。为了提高算法的定位精度,我们将目标节点接收到的WiFi信号放入滤波器中,并在计算目标节点坐标时采用最小二乘法进行纠错。最后,针对特定场景进行了实验。实验结果表明,基于WiFi的指纹定位算法在室内环境下的定位误差在仪表级以下,定位精度可以更好地满足商务定位服务的需求。

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