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Multi-Sensor Multi-Floor 3D Localization With Robust Floor Detection
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DOI：10.1109/ACCESS.2018.2883869.png)
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Abstract
En 中文
Location has become an essential part of the next-generation Internet of Things systems. This paper proposes a multi-sensor-based 3D indoor localization approach. Compared with the existing 3D localization methods, this paper presents a wireless received signal strength (RSS)-profile-based floor-detection approach to enhance RSS-based floor detection. The profile-based floor detection is further integrated with the 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 an extend Kalman filter. The proposed multi-sensor integration algorithm provided more robust and smoother floor detection and 3D localization solutions than the existing methods.
Keywords:
Internet of Things
indoor localization
wireless received signal strength
inertial navigation
magnetometer sensor
barometer
3D
floor detection
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