Research on intelligent indoor location method based on Wi-Fi fingerprint

被引：3
|
作者：
Yuan, Jie [1 ]
He, Yi [2 ]
机构：
[1] Hunan City Univ, Yiyang, Hunan, Peoples R China
[2] Beijing Jinhe Haitai Informat Technol Co Ltd, Zhuhai, Guangdong, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS | 2021年 / 26卷 / 03期
关键词：
intelligent indoor location; Wi-Fi fingerprint; fuzzy support vector machine; FSVM; K-means; SUPPORT VECTOR MACHINE; NEAREST-NEIGHBOR; ATTACKS;
D O I：
10.1504/IJCNDS.2021.114447
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve indoor location performance based on Wi-Fi fingerprint, the novel algorithm is put forward based on K-mean algorithm and fuzzy support vector machine. Firstly, the basic theories of Wi-Fi location technology, indoor location principle based on location fingerprint database are studied. Secondly, the basic theories of K-means algorithm, fuzzy support vector machine and nearest incremental algorithm are discussed, and the corresponding mathematical model is deduced. Third, the Wi-Fi fingerprint location algorithm procedure is designed. Finally, the simulation analysis is carried out, and results show that the proposed method has higher location performance.
引用
收藏
页码：319 / 333
页数：15
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