Indoor Location Learning Over Wireless Fingerprinting System With Particle Markov Chain Model

Indoor Location Learning Over Wireless Fingerprinting System With Particle Markov Chain Model

This paper describes research toward a tracking system for locating persons indoor based on low-cost Bluetooth Low Energy (BLE) beacons. Wireless fingerprinting based on BLE beacons has emerged as an increasingly popular solution for fine-grained indoor localization. Inspired by the idea of mobility...

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Bibliographic Details
Main Authors: Sok-Ian Sou, Wen-Hsiang Lin, Kun-Chan Lan, Chuan-Sheng Lin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
People tracking
resampling
position accuracy
Bluetooth
beacons
machine learning
Online Access:https://ieeexplore.ieee.org/document/8601189/

Internet

https://ieeexplore.ieee.org/document/8601189/

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