Design of Ble 2-Step Separate Channel Fingerprinting

Takahiro Yamamoto; Shigemi Ishida; Ryota Kimoto; Shigeaki Tagashira; Akira Fukuda

doi:10.1109/VTC2020-Spring48590.2020.9128872

Design of Ble 2-Step Separate Channel Fingerprinting

Takahiro Yamamoto, Shigemi Ishida, Ryota Kimoto, Shigeaki Tagashira, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Bluetooth Low Energy (BLE)-based localization is a promising candidate of indoor localization for low power mobile and Internet of Things (IoT) systems. Localization accuracy of BLE-based localization systems is lower than other localization technologies relying on wideband wireless communication such as WiFi due to limited channel bandwidth. In our previous paper, we proposed an accuracy improvement method named separate channel fingerprinting (SCF), which, however, suffers from a high maximum localization error more than 6 meters. This paper therefore presents 2-step separate channel fingerprinting (2SSCF). 2S-SCF first coarsely estimates location by conventional BLE fingerprinting and utilizes SCF to estimate the fine-grained location. We experimentally demonstrate that 2S-SCF successfully reduced localization errors 95 % of time with a small maximum localization error.

Original language	English
Title of host publication	2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728152073
DOIs	https://doi.org/10.1109/VTC2020-Spring48590.2020.9128872
Publication status	Published - May 2020
Event	91st IEEE Vehicular Technology Conference, VTC Spring 2020 - Antwerp, Belgium Duration: May 25 2020 → May 28 2020

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2020-May
ISSN (Print)	1550-2252

Conference

Conference	91st IEEE Vehicular Technology Conference, VTC Spring 2020
Country/Territory	Belgium
City	Antwerp
Period	5/25/20 → 5/28/20

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTC2020-Spring48590.2020.9128872

Cite this

Yamamoto, T., Ishida, S., Kimoto, R., Tagashira, S., & Fukuda, A. (2020). Design of Ble 2-Step Separate Channel Fingerprinting. In 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings Article 9128872 (IEEE Vehicular Technology Conference; Vol. 2020-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128872

Design of Ble 2-Step Separate Channel Fingerprinting. / Yamamoto, Takahiro; Ishida, Shigemi; Kimoto, Ryota et al.
2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9128872 (IEEE Vehicular Technology Conference; Vol. 2020-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamamoto, T, Ishida, S, Kimoto, R, Tagashira, S & Fukuda, A 2020, Design of Ble 2-Step Separate Channel Fingerprinting. in 2020 IEEE 91st Vehicular Technology Conference, VTC Spring 2020 - Proceedings., 9128872, IEEE Vehicular Technology Conference, vol. 2020-May, Institute of Electrical and Electronics Engineers Inc., 91st IEEE Vehicular Technology Conference, VTC Spring 2020, Antwerp, Belgium, 5/25/20. https://doi.org/10.1109/VTC2020-Spring48590.2020.9128872

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title = "Design of Ble 2-Step Separate Channel Fingerprinting",

abstract = "Bluetooth Low Energy (BLE)-based localization is a promising candidate of indoor localization for low power mobile and Internet of Things (IoT) systems. Localization accuracy of BLE-based localization systems is lower than other localization technologies relying on wideband wireless communication such as WiFi due to limited channel bandwidth. In our previous paper, we proposed an accuracy improvement method named separate channel fingerprinting (SCF), which, however, suffers from a high maximum localization error more than 6 meters. This paper therefore presents 2-step separate channel fingerprinting (2SSCF). 2S-SCF first coarsely estimates location by conventional BLE fingerprinting and utilizes SCF to estimate the fine-grained location. We experimentally demonstrate that 2S-SCF successfully reduced localization errors 95 % of time with a small maximum localization error.",

author = "Takahiro Yamamoto and Shigemi Ishida and Ryota Kimoto and Shigeaki Tagashira and Akira Fukuda",

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AU - Ishida, Shigemi

AU - Kimoto, Ryota

AU - Tagashira, Shigeaki

AU - Fukuda, Akira

PY - 2020/5

Y1 - 2020/5

N2 - Bluetooth Low Energy (BLE)-based localization is a promising candidate of indoor localization for low power mobile and Internet of Things (IoT) systems. Localization accuracy of BLE-based localization systems is lower than other localization technologies relying on wideband wireless communication such as WiFi due to limited channel bandwidth. In our previous paper, we proposed an accuracy improvement method named separate channel fingerprinting (SCF), which, however, suffers from a high maximum localization error more than 6 meters. This paper therefore presents 2-step separate channel fingerprinting (2SSCF). 2S-SCF first coarsely estimates location by conventional BLE fingerprinting and utilizes SCF to estimate the fine-grained location. We experimentally demonstrate that 2S-SCF successfully reduced localization errors 95 % of time with a small maximum localization error.

AB - Bluetooth Low Energy (BLE)-based localization is a promising candidate of indoor localization for low power mobile and Internet of Things (IoT) systems. Localization accuracy of BLE-based localization systems is lower than other localization technologies relying on wideband wireless communication such as WiFi due to limited channel bandwidth. In our previous paper, we proposed an accuracy improvement method named separate channel fingerprinting (SCF), which, however, suffers from a high maximum localization error more than 6 meters. This paper therefore presents 2-step separate channel fingerprinting (2SSCF). 2S-SCF first coarsely estimates location by conventional BLE fingerprinting and utilizes SCF to estimate the fine-grained location. We experimentally demonstrate that 2S-SCF successfully reduced localization errors 95 % of time with a small maximum localization error.

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Design of Ble 2-Step Separate Channel Fingerprinting

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