基于WIFI的位置指纹参考节点密度与定位精度关系研究

Research on relation between density of reference nodes of location fingerprint and positioning accuracy based on WIFI

为探究基于WIFI的位置指纹室内定位中定位精度与离线数据库参考节点密度关系,本文采用待测节点与参考节点位置关系原理理论推导、正方形、三角形和六边形三种不同参考节点的排布方式的计算机拟合并以正方形排布方式为例进行实际验证的方法,对参考节点密度与定位精度关系开展研究。回归分析结果表明,参考节点密度与定位精度在不同排布方式下均呈现显著正相关线性关系。

The positioning accuracy of indoor position fingerprint location based on WIFI is controlled by many factors, such as off-line database establishment, on-line data acquisition, positioning algorithm and so on. The relationship between reference node density and positioning accuracy of offline database is a quantitative basis for weighing positioning accuracy and labor cost. In this paper, the relationship between reference node density and positioning accuracy is studied by theoretical derivation of the principle of the position relation between the node to be measured and the reference node, and computerized fitting of three different reference node arrangements, i. e., square, triangle and hexagon, and the method is validated by taking the square arrangement as an example. The results of regression analysis show that there is a significant positive linear relationship between the density of reference nodes and positioning accuracy in different layout modes.