Non-Parametric and Semi-Parametric RSSI/Distance Modeling for Target Tracking in Wireless Sensor Networks

IEEE Sensors Journal

Volumn 16, Issue 7, 2016, Pages 2115-2126

  Mahfouz, Sandy ^a   Mourad Chehade, Farah ^a   Honeine, Paul ^b   Farah, Joumana ^c   Snoussi, Hichem ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^b UNIVERSITÉ DE ROUEN   (France)

^c LEBANESE UNIVERSITY   (Lebanon)

Author keywords

Distance estimation; Kalman filter; machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; KALMAN FILTERS; LEARNING SYSTEMS; REGRESSION ANALYSIS; WIRELESS SENSOR NETWORKS;

CHOICE OF PARAMETERS; DISTANCE ESTIMATION; KERNEL-BASED LEARNING; NON-PARAMETRIC REGRESSION; PROPAGATION MODELING; RADIO FINGERPRINTS; RECEIVED SIGNAL STRENGTH INDICATORS; SEMI-PARAMETRIC REGRESSIONS;

TARGET TRACKING;

EID: 84962145130     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2015.2510020     Document Type: Article

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