Research on indoor localization algorithm based on kernel principal component analysis

An indoor localization algorithm based on kernel principal component analysis (KPCA) was proposed.It applied KPCA to train the original location fingerprint (OLF) and extract the nonlinear feature of the OLF data at the offline stage,such that the information of all AP was more efficiently utilized....

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Bibliographic Details
Main Authors: Hua-liang LI, Zhi-hong QIAN, Hong-liang TIAN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017018/
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