A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data

Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle e...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Feng Ye [verfasserIn] Ruizhi Chen [verfasserIn] Guangyi Guo [verfasserIn] Xuesheng Peng [verfasserIn] Zuoya Liu [verfasserIn] Lixiong Huang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	BLE data fusion indoor positioning Karman filter pedestrian dead reckoning (PDR) single-anchor

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 162439-162453
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:162439-162453

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2019.2951281

Katalog-ID:	DOAJ016106423

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520			\|a Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement.
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spelling	10.1109/ACCESS.2019.2951281 doi (DE-627)DOAJ016106423 (DE-599)DOAJ70f86e91fea04eb49e92bbac05ec6225 DE-627 ger DE-627 rakwb eng TK1-9971 Feng Ye verfasserin aut A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement. BLE data fusion indoor positioning Karman filter pedestrian dead reckoning (PDR) single-anchor Electrical engineering. Electronics. Nuclear engineering Ruizhi Chen verfasserin aut Guangyi Guo verfasserin aut Xuesheng Peng verfasserin aut Zuoya Liu verfasserin aut Lixiong Huang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 162439-162453 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:162439-162453 https://doi.org/10.1109/ACCESS.2019.2951281 kostenfrei https://doaj.org/article/70f86e91fea04eb49e92bbac05ec6225 kostenfrei https://ieeexplore.ieee.org/document/8890682/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 162439-162453
allfields_unstemmed	10.1109/ACCESS.2019.2951281 doi (DE-627)DOAJ016106423 (DE-599)DOAJ70f86e91fea04eb49e92bbac05ec6225 DE-627 ger DE-627 rakwb eng TK1-9971 Feng Ye verfasserin aut A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement. BLE data fusion indoor positioning Karman filter pedestrian dead reckoning (PDR) single-anchor Electrical engineering. Electronics. Nuclear engineering Ruizhi Chen verfasserin aut Guangyi Guo verfasserin aut Xuesheng Peng verfasserin aut Zuoya Liu verfasserin aut Lixiong Huang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 162439-162453 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:162439-162453 https://doi.org/10.1109/ACCESS.2019.2951281 kostenfrei https://doaj.org/article/70f86e91fea04eb49e92bbac05ec6225 kostenfrei https://ieeexplore.ieee.org/document/8890682/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 162439-162453
allfieldsGer	10.1109/ACCESS.2019.2951281 doi (DE-627)DOAJ016106423 (DE-599)DOAJ70f86e91fea04eb49e92bbac05ec6225 DE-627 ger DE-627 rakwb eng TK1-9971 Feng Ye verfasserin aut A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement. BLE data fusion indoor positioning Karman filter pedestrian dead reckoning (PDR) single-anchor Electrical engineering. Electronics. Nuclear engineering Ruizhi Chen verfasserin aut Guangyi Guo verfasserin aut Xuesheng Peng verfasserin aut Zuoya Liu verfasserin aut Lixiong Huang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 162439-162453 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:162439-162453 https://doi.org/10.1109/ACCESS.2019.2951281 kostenfrei https://doaj.org/article/70f86e91fea04eb49e92bbac05ec6225 kostenfrei https://ieeexplore.ieee.org/document/8890682/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 162439-162453
allfieldsSound	10.1109/ACCESS.2019.2951281 doi (DE-627)DOAJ016106423 (DE-599)DOAJ70f86e91fea04eb49e92bbac05ec6225 DE-627 ger DE-627 rakwb eng TK1-9971 Feng Ye verfasserin aut A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement. BLE data fusion indoor positioning Karman filter pedestrian dead reckoning (PDR) single-anchor Electrical engineering. Electronics. Nuclear engineering Ruizhi Chen verfasserin aut Guangyi Guo verfasserin aut Xuesheng Peng verfasserin aut Zuoya Liu verfasserin aut Lixiong Huang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 162439-162453 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:162439-162453 https://doi.org/10.1109/ACCESS.2019.2951281 kostenfrei https://doaj.org/article/70f86e91fea04eb49e92bbac05ec6225 kostenfrei https://ieeexplore.ieee.org/document/8890682/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 162439-162453
language	English
source	In IEEE Access 7(2019), Seite 162439-162453 volume:7 year:2019 pages:162439-162453
sourceStr	In IEEE Access 7(2019), Seite 162439-162453 volume:7 year:2019 pages:162439-162453
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	BLE data fusion indoor positioning Karman filter pedestrian dead reckoning (PDR) single-anchor Electrical engineering. Electronics. Nuclear engineering
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container_title	IEEE Access
authorswithroles_txt_mv	Feng Ye @@aut@@ Ruizhi Chen @@aut@@ Guangyi Guo @@aut@@ Xuesheng Peng @@aut@@ Zuoya Liu @@aut@@ Lixiong Huang @@aut@@
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callnumber-first	T - Technology
author	Feng Ye
spellingShingle	Feng Ye misc TK1-9971 misc BLE misc data fusion misc indoor positioning misc Karman filter misc pedestrian dead reckoning (PDR) misc single-anchor misc Electrical engineering. Electronics. Nuclear engineering A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data
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topic_title	TK1-9971 A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data BLE data fusion indoor positioning Karman filter pedestrian dead reckoning (PDR) single-anchor
topic	misc TK1-9971 misc BLE misc data fusion misc indoor positioning misc Karman filter misc pedestrian dead reckoning (PDR) misc single-anchor misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc BLE misc data fusion misc indoor positioning misc Karman filter misc pedestrian dead reckoning (PDR) misc single-anchor misc Electrical engineering. Electronics. Nuclear engineering
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title	A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data
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title_sort	low-cost single-anchor solution for indoor positioning using ble and inertial sensor data
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title_auth	A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data
abstract	Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement.
abstractGer	Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement.
abstract_unstemmed	Indoor positioning services have become necessary in many situations. Radio frequency (RF) signals are suitable for being used for positioning because of their ubiquity and imperceptibility. This paper utilizes the information from the baseband of a Bluetooth low energy (BLE) transceiver for angle estimation and signal strength for distance estimation. The scheme constitutes a single-anchor based solution to calculate the position of a client. It significantly reduces the cost of installation by avoiding traditional methods like multilateration or triangulation that require three or more anchors, even in a small space. To improve the performance, we design a fusion algorithm based on a Kalman filter to integrate measurements of the anchor station and simplified pedestrian dead reckoning (PDR) results from the client. Experiments show that the proposed solution estimates positions in high precision without initial user location or heading information. The mean error of the implementation is less than 1 m and can be improved to less than 0.5 m with a precise ranging measurement.
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title_short	A Low-Cost Single-Anchor Solution for Indoor Positioning Using BLE and Inertial Sensor Data
url	https://doi.org/10.1109/ACCESS.2019.2951281 https://doaj.org/article/70f86e91fea04eb49e92bbac05ec6225 https://ieeexplore.ieee.org/document/8890682/ https://doaj.org/toc/2169-3536
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