桂林电子科技大学学报2017，Vol.37Issue(4)：276-281,6.
一种基于WiFi指纹特征匹配的加权K近邻室内定位算法
A weighted K nearest neighborhood localization algorithm based on WiFi fingerprint feature matching
摘要
Abstract
Because of the fluctuation of WiFi signal intensity,which leads to the low precision of the location fingerprint sys-tem,a weighted K nearest neighbor indoor localization algorithm is improved.The characteristics of the received signal strength are analyzed by the interval between the fingerprint sampling and the number of WiFi access points.And the finger-print database is optimized to achieve positioning.The influence of the number of access points,sampling interval and K val-ue on the positioning accuracy is analyzed.The experimental results show that the algorithm can achieve 1.98 m positioning accuracy.关键词
WiFi/室内定位/指纹库/加权K近邻Key words
WiFi/indoor positioning/fingerprint database/weighted K nearest neighbor分类
信息技术与安全科学引用本文复制引用
王恩良,王玫,孟志斌,徐湘寓..一种基于WiFi指纹特征匹配的加权K近邻室内定位算法[J].桂林电子科技大学学报,2017,37(4):276-281,6.基金项目
国家自然科学基金(61172054,61371107) （61172054,61371107）
广西信息科学实验中心基金(LD16061X) （LD16061X）
广西自然科学基金(2016GXNSFBA38014) （2016GXNSFBA38014）
中国博士后科学基金(2016M602921XB) （2016M602921XB）
