多类智能终端基于灰色关联度的WKNN定位效果分析

Location Effect Analysis of WKNN Based on Grey Correlation of Multi-class Intelligent Terminals

为了解决WiFi指纹定位中遇到不同智能终端定位时产生的定位精度下降问题,针对多类智能终端情况,研究了以灰色关联度替代欧氏距离的改进加权K最近邻算法(WKNN)的改进效果,并进行了不同设备的定位实验。结果表明,对多类智能终端进行WiFi定位时,相较于传统WKNN算法,基于灰色关联度的改进WKNN算法在定位精度和普适性上均有很大提升。

In order to solve the problem of location accuracy degradation caused by different intelligent terminals in Wi Fi fingerprint location,we proposed an improved WKNN algorithm based on gray correlation instead of Euclidean distance,and carried out some positioning experiments of different equipments.The result shows that the improved WKNN algorithm based on grey correlation has a great improvement in location accuracy compared with the traditional WKNN algorithm in Wi Fi location for different devices.