福州大学学报（自然科学版）2017，Vol.45Issue(1)：8-15,8.DOI:10.7631/issn.1000-2243.2017.01.0008
基于层次聚类的WiFi室内位置指纹定位算法
WiFi indoor position fingerprinting localization algorithm based on hierarchical clustering
摘要
Abstract
This paper presents a kind of using WiFi signal fingerprint to locate the interior regions of CL-KNN (complete linkage K-nearest neighbor) algorithm.The algorithm first performs hierarchical clustering method to divide a test environment to several regions,and according to the WiFi signal fingerprint information corresponding to match,finally the location results determined by weighted calculation.The experimental results show that,under the condition of the WiFi access points quantity enough,compared with the original KNN algorithm and k-means-KNN algorithm,CL-KNN algorithm can obtain higher positioning precision and accuracy.关键词
室内定位/位置指纹定位/层次聚类算法/WiFi信号Key words
indoor positioning/position fingerprint orientation/hierarchical clustering algorithm/WiFi signal分类
信息技术与安全科学引用本文复制引用
王怡婷,郭红..基于层次聚类的WiFi室内位置指纹定位算法[J].福州大学学报（自然科学版）,2017,45(1):8-15,8.基金项目
国家自然科学基金资助项目(61370210) （61370210）
福建省自然科学基金资助项目(2011J01345) （2011J01345）
