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Abstract:
Location has become an essential part of the next-generation Internet of Things systems. Thispaper proposes a multi-sensor-based 3D indoor localization approach. Compared with the existing 3D local-ization methods, this paper presents a wireless received signal strength (RSS)-profile-based floor-detectionapproach to enhance RSS-based floor detection. The profile-based floor detection is further integrated withthe barometer data to gain more reliable estimations of the height and the barometer bias. Furthermore,the data from inertial sensors, magnetometers, and a barometer are integrated with the RSS data through anextend Kalman filter. The proposed multi-sensor integration algorithm provided more robust and smootherfloor detection and 3D localization solutions than the existing methods.
