1. Multi-Sensor Multi-Floor 3D Localization With Robust Floor Detection
- Author
-
You Li, Zhouzheng Gao, Zhe He, Peng Zhang, Ruizhi Chen, and Naser El-Sheimy
- Subjects
Internet of Things ,indoor localization ,wireless received signal strength ,inertial navigation ,magnetometer sensor ,barometer ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
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.
- Published
- 2018
- Full Text
- View/download PDF