UWB NLOS/LOS Classification Using Deep Learning Method

Ultra-Wide-Band (UWB) was recognized as its great potential in constructing accurate indoor position system (IPS). However, indoor environments were full of complex objects, the signals might be reflected by the obstacles. Compared with the Line-Of-Sight (LOS) signal, the signal transmitting path de...

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Veröffentlicht in:	IEEE communications letters Jg. 24; H. 10; S. 2226 - 2230
Hauptverfasser:	Jiang, Changhui, Shen, Jichun, Chen, Shuai, Chen, Yuwei, Liu, Di, Bo, Yuming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Channels Classification CNN Convolution Deep learning Feature extraction Impulse response Indoor environments IP networks Kernel Line of sight Logic gates LSTM Machine learning Multilayers NLOS Position errors Signal classification Support vector machines Ultrawideband UWB
ISSN:	1089-7798, 1558-2558
Online-Zugang:	Volltext
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