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,...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autori principali: Juthatip Wisanmongkol, Attaphongse Taparugssanagorn, Le Chung Tran, Anh Tuyen Le, Xiaojing Huang, Christian Ritz, Eryk Dutkiewicz, Son Lam Phung
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wiley 2022-04-01
Serie:IET Wireless Sensor Systems
Soggetti:
indoor communication
indoor navigation
indoor radio
RSSI
learning (artificial intelligence)
Accesso online:https://doi.org/10.1049/wss2.12035
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi