A robust indoor positioning method based on bluetooth low energy with separate channel information
Huang, Baichuan LU
; Liu, Jingbin
; Sun, Wei
and Yang, Fan
(2019)
In Sensors (Switzerland)
19(16).
- Abstract
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... (More)
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.
(Less)
- author
- Huang, Baichuan
LU
; Liu, Jingbin
; Sun, Wei
and Yang, Fan
- publishing date
- 2019-08-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Bluetooth low energy (BLE), Distance decision strategy, Indoor positioning, Separate channels, Separate signal-attenuation models, Weighted trilateration
- in
- Sensors (Switzerland)
- volume
- 19
- issue
- 16
- article number
- 3487
- publisher
- MDPI AG
- external identifiers
-
- pmid:31404989
- scopus:85071281694
- ISSN
- 1424-8220
- DOI
- 10.3390/s19163487
- language
- English
- LU publication?
- no
- additional info
- Funding Information: Funding: This study was supported in part by the National Natural Science Foundation of China (Grant No. 41804016), the China Postdoctoral Science Foundation (Grant No. 2017M622517), the National Research Development Program of China under Project No. 2016YFB0502204, the Technology Innovation Program of Hubei Province under Project No. 2018AAA070, the Natural Science Fund of Hubei Province under Project No. 2018CFA007 and the Key Laboratory of Precise Engineering and Industry Surveying, National Administration of Surveying, Mapping and Geoinformation under Grant No. PF2017−11. Publisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
- id
- 2fcd65bb-3a37-4fe3-a596-79e568be001f
- date added to LUP
- 2023-02-21 10:13:57
- date last changed
- 2024-03-06 11:09:16
@article{2fcd65bb-3a37-4fe3-a596-79e568be001f,
abstract = {{<p>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.</p>}},
author = {{Huang, Baichuan and Liu, Jingbin and Sun, Wei and Yang, Fan}},
issn = {{1424-8220}},
keywords = {{Bluetooth low energy (BLE); Distance decision strategy; Indoor positioning; Separate channels; Separate signal-attenuation models; Weighted trilateration}},
language = {{eng}},
month = {{08}},
number = {{16}},
publisher = {{MDPI AG}},
series = {{Sensors (Switzerland)}},
title = {{A robust indoor positioning method based on bluetooth low energy with separate channel information}},
url = {{http://dx.doi.org/10.3390/s19163487}},
doi = {{10.3390/s19163487}},
volume = {{19}},
year = {{2019}},
}