Advanced Heterogeneous Feature Fusion Machine Learning Models and Algorithms for Improving Indoor Localization

Advanced Heterogeneous Feature Fusion Machine Learning Models and Algorithms for Improving Indoor Localization

In the era of the Internet of Things and Artificial Intelligence, the Wi-Fi fingerprinting-based indoor positioning system (IPS) has been recognized as the most promising IPS for various applications. Fingerprinting-based algorithms critically rely on a fingerprint database built from machine learni...

Full description

Bibliographic Details
Main Authors: Lingwen Zhang, Ning Xiao, Wenkao Yang, Jun Li
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
indoor localization
heterogeneous features fusion (HFF)
machine learning
optimization
Online Access:http://www.mdpi.com/1424-8220/19/1/125

Similar Items

Similar Items