BiLoc: Bi-Modal Deep Learning for Indoor Localization with Commodity 5GHz WiFi

IEEE Access

Volumn 5, Issue , 2017, Pages 4209-4220

  Wang, Xuyu ^a   Gao, Lingjun ^b   Mao, Shiwen ^a  

^a AUBURN UNIVERSITY   (United States)

^b DataYes Inc Inc   (China)

Author keywords

5GHz commodity WiFi; bi modality fingerprinting; channel state information; deep learning; fingerprinting; Indoor localization

Indexed keywords

BENCHMARKING; CHANNEL STATE INFORMATION; COMMUNICATION CHANNELS (INFORMATION THEORY); DEEP LEARNING; MODAL ANALYSIS; WI-FI; WIRELESS LOCAL AREA NETWORKS (WLAN);

BI-MODAL DATA; FINGERPRINTING; INDOOR ENVIRONMENT; INDOOR LOCALIZATION; LEARNING-BASED ALGORITHMS; WI FI NETWORKS;

INDOOR POSITIONING SYSTEMS;

EID: 85019126127     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2017.2688362     Document Type: Article

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