Title
ConFi: Convolutional Neural Networks Based Indoor Wi-Fi Localization Using Channel State Information.
Abstract
As the technique that determines the position of a target device based on wireless measurements, Wi-Fi localization is attracting increasing attention due to its numerous applications and the widespread deployment of Wi-Fi infrastructure. In this paper, we propose ConFi, the first convolutional neural network (CNN)-based Wi-Fi localization algorithm. Channel state information (CSI), which contains more position related information than traditional received signal strength, is organized into a time-frequency matrix that resembles image and utilized as the feature for localization. The ConFi models localization as a classification problem and addresses it with a five layer CNN that consists of three convolutional layers and two fully connected layers. The ConFi has a training stage and a localization stage. In the training stage, the CSI is collected at a number of reference points (RPs) and used to train the CNN via stochastic gradient descent algorithm. In the localization stage, the CSI of the target device is fed to the CNN and the localization result is calculated as the weighted centroid of the RPs with high output value. Extensive experiments are conducted to select appropriate parameters for the CNN and demonstrate the superior performance of the ConFi over existing methods.
Year
DOI
Venue
2017
10.1109/ACCESS.2017.2749516
IEEE ACCESS
Keywords
Field
DocType
Wi-Fi localization,channel state information,convolutional neural network,pattern recognition
Wireless,Matrix (mathematics),Computer science,Convolutional neural network,Artificial intelligence,Artificial neural network,Distributed computing,Channel state information,Stochastic gradient descent,Pattern recognition,Feature extraction,Centroid,Machine learning
Journal
Volume
ISSN
Citations 
5
2169-3536
6
PageRank 
References 
Authors
0.44
18
5
Name
Order
Citations
PageRank
Hao Chen115661.18
Yifan Zhang23010.85
Wei Li342256.67
Xiaofeng Tao41033140.26
zhang521025.85