UWB Indoor Localization Using Deep Learning LSTM Networks

UWB Indoor Localization Using Deep Learning LSTM Networks

Localization using ultra-wide band (UWB) signals gives accurate position results for indoor localization. The penetrating characteristics of UWB pulses reduce the multipath effects and identify the user position with precise accuracy. In UWB-based localization, the localization accuracy depends on t...

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Bibliographic Details
Main Authors: Alwin Poulose, Dong Seog Han
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Applied Sciences
Subjects:
Indoor localization
ultra-wide band (UWB) signals
time of arrival (TOA)
deep learning
long short-term memory (LSTM)
trilateration algorithm
Online Access:https://www.mdpi.com/2076-3417/10/18/6290

Internet

https://www.mdpi.com/2076-3417/10/18/6290

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