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Open AccessArticle

A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information

by 1, 1,2, 3,4 and 1,5,*
1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Department of Remote Sensing and Photogrammetry and the Center of Excellence in Laser Scanning Research, Finnish Geospatial Research Institute, 02430 Masala, Finland
3
Key Laboratory of Precise Engineering and Industry Surveying, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, Wuhan 430079, China
4
Wuhan Geomatics Institute, Wuhan 430079, China
5
State Key Laboratory of Geodesy and Earth’s Geodynamics, Chinese Academy of Sciences, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(16), 3487; https://doi.org/10.3390/s19163487
Received: 22 June 2019 / Revised: 20 July 2019 / Accepted: 7 August 2019 / Published: 9 August 2019
(This article belongs to the Collection Positioning and Navigation)
Among the current indoor positioning technologies, Bluetooth low energy (BLE) has gained increasing attention. In particular, the traditional distance estimation derived from aggregate RSS and signal-attenuation models is generally unstable because of the complicated interference in indoor environments. To improve the adaptability and robustness of the BLE positioning system, we propose making full use of the three separate channels of BLE instead of their combination, which has generally been used before. In the first step, three signal-attenuation models are separately established for each BLE advertising channel in the offline phase, and a more stable distance in the online phase can be acquired by assembling measurements from all three channels with the distance decision strategy. Subsequently, a weighted trilateration method with uncertainties related to the distances derived in the first step is proposed to determine the user’s optimal position. The test results demonstrate that our proposed algorithm for determining the distance error achieves a value of less than 2.2 m at 90%, while for the positioning error, it achieves a value of less than 2.4 m at 90%. Compared with the traditional methods, the positioning error of our method is reduced by 33% to 38% for different smartphones and scenarios. View Full-Text
Keywords: indoor positioning; Bluetooth low energy (BLE); separate channels; separate signal-attenuation models; distance decision strategy; weighted trilateration indoor positioning; Bluetooth low energy (BLE); separate channels; separate signal-attenuation models; distance decision strategy; weighted trilateration
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Huang, B.; Liu, J.; Sun, W.; Yang, F. A Robust Indoor Positioning Method based on Bluetooth Low Energy with Separate Channel Information. Sensors 2019, 19, 3487.

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