An ensemble approach to deep‐learning‐based wireless indoor localization

Abstract The authors investigate the use of deep learning in wireless indoor localization to address the shortcomings of the existing range‐based (e.g. trilateration and triangulation) and range‐free (e.g. fingerprinting) localization. Instead of relying on geometric models and hand‐picked features,...

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Detaylı Bibliyografya
Asıl Yazarlar: Juthatip Wisanmongkol, Attaphongse Taparugssanagorn, Le Chung Tran, Anh Tuyen Le, Xiaojing Huang, Christian Ritz, Eryk Dutkiewicz, Son Lam Phung
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Wiley 2022-04-01
Seri Bilgileri:IET Wireless Sensor Systems
Konular:
indoor communication
indoor navigation
indoor radio
RSSI
learning (artificial intelligence)
Online Erişim:https://doi.org/10.1049/wss2.12035
Etiketler: Etiketle
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