Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression

Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression

This paper presents a localization model employing convolutional neural network (CNN) and Gaussian process regression (GPR) based on Wi-Fi received signal strength indication (RSSI) fingerprinting data. In the proposed scheme, the CNN model is trained by a training dataset. The trained model adapts...

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Bibliographic Details
Main Authors: Guolong Zhang, Ping Wang, Haibing Chen, Lan Zhang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
fingerprinting localization
received signal strength indication
k-nearest neighbor
convolutional neural network
Gaussian process regression
cumulative error distribution
Online Access:https://www.mdpi.com/1424-8220/19/11/2508

Internet

https://www.mdpi.com/1424-8220/19/11/2508

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