Indoor position tracking using received signal strength-based fingerprint context aware partitioning

• Published in: IET radar, sonar & navigation Vol. 10; no. 8; pp. 1347 - 1355
• Main Authors: D'Souza, Matthew, Schoots, Brendan, Ros, Montserrat
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.10.2016
• Subjects: Accuracy; FCAP tracking model; Fingerprints; Indoor environments; indoor navigation; indoor position tracking; Interference; Localization; mobile indoor localisation; Partitioning; Position (location); radio tracking; radiofrequency interference; received RF signal strength fingerprinting; received signal strength‐based fingerprint context aware partitioning model; reference nodes; Research Article; RSSI; Signal strength; spatial density; user indoor environments; wireless access points; wireless channel propagation characteristics; wireless channels; wireless interference; wireless localisation network; wireless localisation systems; indoor navigation; FCAP tracking model; spatial density; radio tracking; wireless localisation systems; user indoor environments; wireless channel propagation characteristics; mobile indoor localisation; wireless localisation network; wireless interference; wireless access points; RSSI; radiofrequency interference; wireless channels; received RF signal strength fingerprinting; received signal strength-based fingerprint context aware partitioning model; reference nodes; indoor position tracking

Mobile indoor localisation has numerous uses for logistics and health applications. Current wireless localisation systems experience reliability difficulties in indoor environments due to interference and also require a large number of wireless access points to ensure position accuracy and resolutio...