The Improvement and Comparison Study of Distance Metrics for Machine Learning Algorithms for Indoor Wi-Fi Localization

The Improvement and Comparison Study of Distance Metrics for Machine Learning Algorithms for Indoor Wi-Fi Localization

Accurate indoor positioning is crucial for many location-based services, but GPS accuracy is significantly reduced due to issues such as signal penetration and accuracy in indoor scenarios. In contrast, indoor Wi-Fi positioning is emerging as a promising alternative in the field. This study proposes...

Ausführliche Beschreibung

Bibliographische Detailangaben
1. Verfasser: Xinyue Wang
Format: Artikel
Sprache:English
Veröffentlicht: IEEE 2023-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Indoor positioning
Wi-Fi signal processing
machine learning
model optimization
dynamic time warping
Gaussian kernel matrix
Online Zugang:https://ieeexplore.ieee.org/document/10214587/

Ähnliche Einträge

Ähnliche Einträge