Non-Line-of-Sight Identification Based on Unsupervised Machine Learning in Ultra Wideband Systems

Identification of line-of-sight (LOS) and non-line-of-sight (NLOS) propagation conditions is very useful in ultra wideband localization systems. In the identification, supervised machine learning is often used, but it requires exorbitant efforts to maintain and label the LOS and NLOS database. In th...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Jiancun Fan, Ahsan Saleem Awan
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Subjects:	Expectation maximization Gaussian mixture models unsupervised machine learning ultra wideband systems non-line-of-sight identification
Online Access:	https://ieeexplore.ieee.org/document/8666972/