Wireless Fingerprinting Uncertainty Prediction Based on Machine Learning

Wireless Fingerprinting Uncertainty Prediction Based on Machine Learning

Although wireless fingerprinting has been well researched and widely used for indoor localization, its performance is difficult to quantify. Therefore, when wireless fingerprinting solutions are used as location updates in multi-sensor integration, it is challenging to set their weight accurately. T...

Full description

Bibliographic Details
Main Authors: You Li, Zhouzheng Gao, Zhe He, Yuan Zhuang, Ahmed Radi, Ruizhi Chen, Naser El-Sheimy
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
indoor localization
fingerprinting
machine learning
neural network
received signal strength
Kalman filter
inertial navigation
Online Access:http://www.mdpi.com/1424-8220/19/2/324

Internet

http://www.mdpi.com/1424-8220/19/2/324

Similar Items