Phasefi: phase fingerprinting for indoor localization with a deep learning approach

Proceedings - IEEE Global Communications Conference, GLOBECOM

Volumn , Issue , 2015, Pages

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

^a AUBURN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; IEEE STANDARDS; INDOOR POSITIONING SYSTEMS; INTERFACE STATES; LEARNING ALGORITHMS; LOCATION BASED SERVICES; MATHEMATICAL TRANSFORMATIONS; RADIAL BASIS FUNCTION NETWORKS; TELECOMMUNICATION SERVICES; WIRELESS LOCAL AREA NETWORKS (WLAN);

CHANNEL-STATE INFORMATION; HIGH-ACCURACY; HIGH-LOW; INDOOR LOCALIZATION; INFORMATION PHASE; LEARNING APPROACH; LOCATION-BASED SERVICES; MULTIPLE ANTENNA; MULTIPLE-SUBCARRIER; PHASE INFORMATION;

CHANNEL STATE INFORMATION;

EID: 84964891416     PISSN: 23340983     EISSN: 25766813     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2014.7417517     Document Type: Conference Paper

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