A Deep Learning Approach to Position Estimation from Channel Impulse Responses

A Deep Learning Approach to Position Estimation from Channel Impulse Responses

Radio-based locating systems allow for a robust and continuous tracking in industrial environments and are a key enabler for the digitalization of processes in many areas such as production, manufacturing, and warehouse management. Time difference of arrival (TDoA) systems estimate the time-of-fligh...

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Bibliographic Details
Main Authors: Arne Niitsoo, Thorsten Edelhäußer, Ernst Eberlein, Niels Hadaschik, Christopher Mutschler
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
radio-based real-time locating systems
time difference of arrival
channel impulse response
time of arrival
position estimation
machine learning
deep learning
convolutional neural networks
distributed CNN
Online Access:http://www.mdpi.com/1424-8220/19/5/1064

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