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Deep Learning-Based LOS and NLOS Identification in Wireless Body Area Networks 원문보기

Sensors, v.19 no.19, 2019년, pp.4229 -   

Cwalina, Krzysztof K. (Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland) ,  Rajchowski, Piotr (Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland) ,  Blaszkiewicz, Olga (Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland) ,  Olejniczak, Alicja (Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland) ,  Sadowski, Jaroslaw (Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland)

Abstract AI-Helper 아이콘AI-Helper

In this article, the usage of deep learning (DL) in ultra-wideband (UWB) Wireless Body Area Networks (WBANs) is presented. The developed approach, using channel impulse response, allows higher efficiency in identifying the direct visibility conditions between nodes in off-body communication with com...

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