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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Bibliografische gegevens
Hoofdauteurs: Juthatip Wisanmongkol, Attaphongse Taparugssanagorn, Le Chung Tran, Anh Tuyen Le, Xiaojing Huang, Christian Ritz, Eryk Dutkiewicz, Son Lam Phung
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Wiley 2022-04-01
Reeks:IET Wireless Sensor Systems
Onderwerpen:
indoor communication
indoor navigation
indoor radio
RSSI
learning (artificial intelligence)
Online toegang:https://doi.org/10.1049/wss2.12035
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