Indoor Localization with Fingerprint Feature Extraction

Hanas Subakti, Hui Sung Liang, Jehn Ruey Jiang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

We propose an indoor localization method using FPFE (Fingerprint Feature Extraction) with Bluetooth Low Energy (BLE) beacon fingerprints. FPFE apples either AE or PCA to extract features of beacon fingerprints and then measures the similarity between the features using the concept of the Minkowski distance. FPFE selects k RPs with the k smallest Minkowski distances for estimating the position of the target device. Experiments are conducted to evaluate the localization error of FPFE. The experimental results show that the FPFE achieves an average error of 0.68 m which is better than those of other related BLE fingerprint-based localization methods.

原文???core.languages.en_GB???
主出版物標題2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面239-242
頁數4
ISBN(電子)9781728180601
DOIs
出版狀態已出版 - 23 10月 2020
事件2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020 - Yunlin, Taiwan
持續時間: 23 10月 202025 10月 2020

出版系列

名字2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020
國家/地區Taiwan
城市Yunlin
期間23/10/2025/10/20

指紋

深入研究「Indoor Localization with Fingerprint Feature Extraction」主題。共同形成了獨特的指紋。

引用此