WIFI and Magnetic Fingerprint Positioning Algorithm based on KDA-KNN

被引：0
|
作者：
Zhang, Mei [1 ,2 ]
Shen, Wenbo [1 ,2 ]
Zhu, Jinhui [3 ]
机构：
[1] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Peoples R China
[2] South China Univ Technol, Engn Res Ctr Precis Elect Mfg Equipment, Minist Educ, Guangzhou 510640, Peoples R China
[3] South China Univ Technol, Sch Software Engn, Guangzhou 510640, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
KNN; Magnetic fingerprint; Positioning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
WIFI and Magnetic Fingerprint Positioning Algorithm Based on KDA-KNN is proposed to deal with low accuracy problem in WLAN indoor positioning system. In this algorithm, WIFI and magnetic signals are used as location fingerprints and KDA transform is used to extract the main features of the location information and KNN algorithm is used to calculate the location result. Experiments show that compared with KNN and its improved algorithm, the algorithm that is proposed can effectively improve the positioning accuracy.
引用
收藏
页码：5409 / 5415
页数：7
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