WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning
High-precision indoor localisation is becoming a necessity with novel location-based services that are emerging around 5G. The deployment of high-precision indoor location technologies is usually costly due to the high density of reference points. In this work, we propose the opportunistic fusion of...
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MDPI AG
2021
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oai:doaj.org-article:d0881fc874374ce18eeabe76ea54994c2021-11-11T19:03:24ZWiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning10.3390/s212170201424-8220https://doaj.org/article/d0881fc874374ce18eeabe76ea54994c2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7020https://doaj.org/toc/1424-8220High-precision indoor localisation is becoming a necessity with novel location-based services that are emerging around 5G. The deployment of high-precision indoor location technologies is usually costly due to the high density of reference points. In this work, we propose the opportunistic fusion of several different technologies, such as ultra-wide band (UWB) and WiFi fine-time measurement (FTM), in order to improve the performance of location. We also propose the use of fusion with cellular networks, such as LTE, to complement these technologies where the number of reference points is under-determined, increasing the availability of the location service. Maximum likelihood estimation (MLE) is presented to weight the different reference points to eliminate outliers, and several searching methods are presented and evaluated for the localisation algorithm. An experimental setup is used to validate the presented system, using UWB and WiFi FTM due to their incorporation in the latest flagship smartphones. It is shown that the use of multi-technology fusion in trilateration algorithm remarkably optimises the precise coverage area. In addition, it reduces the positioning error by over-determining the positioning problem. This technique reduces the costs of any network deployment oriented to location services, since a reduced number of reference points from each technology is required.Carlos S. Álvarez-MerinoHao Qiang Luo-ChenEmil Jatib KhatibRaquel BarcoMDPI AGarticleindoor positioningfusion technologiesUWBWiFi fine time measurementLTEmaximum likelihood estimatorChemical technologyTP1-1185ENSensors, Vol 21, Iss 7020, p 7020 (2021) |
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indoor positioning fusion technologies UWB WiFi fine time measurement LTE maximum likelihood estimator Chemical technology TP1-1185 |
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indoor positioning fusion technologies UWB WiFi fine time measurement LTE maximum likelihood estimator Chemical technology TP1-1185 Carlos S. Álvarez-Merino Hao Qiang Luo-Chen Emil Jatib Khatib Raquel Barco WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning |
description |
High-precision indoor localisation is becoming a necessity with novel location-based services that are emerging around 5G. The deployment of high-precision indoor location technologies is usually costly due to the high density of reference points. In this work, we propose the opportunistic fusion of several different technologies, such as ultra-wide band (UWB) and WiFi fine-time measurement (FTM), in order to improve the performance of location. We also propose the use of fusion with cellular networks, such as LTE, to complement these technologies where the number of reference points is under-determined, increasing the availability of the location service. Maximum likelihood estimation (MLE) is presented to weight the different reference points to eliminate outliers, and several searching methods are presented and evaluated for the localisation algorithm. An experimental setup is used to validate the presented system, using UWB and WiFi FTM due to their incorporation in the latest flagship smartphones. It is shown that the use of multi-technology fusion in trilateration algorithm remarkably optimises the precise coverage area. In addition, it reduces the positioning error by over-determining the positioning problem. This technique reduces the costs of any network deployment oriented to location services, since a reduced number of reference points from each technology is required. |
format |
article |
author |
Carlos S. Álvarez-Merino Hao Qiang Luo-Chen Emil Jatib Khatib Raquel Barco |
author_facet |
Carlos S. Álvarez-Merino Hao Qiang Luo-Chen Emil Jatib Khatib Raquel Barco |
author_sort |
Carlos S. Álvarez-Merino |
title |
WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning |
title_short |
WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning |
title_full |
WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning |
title_fullStr |
WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning |
title_full_unstemmed |
WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor Positioning |
title_sort |
wifi ftm, uwb and cellular-based radio fusion for indoor positioning |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/d0881fc874374ce18eeabe76ea54994c |
work_keys_str_mv |
AT carlossalvarezmerino wififtmuwbandcellularbasedradiofusionforindoorpositioning AT haoqiangluochen wififtmuwbandcellularbasedradiofusionforindoorpositioning AT emiljatibkhatib wififtmuwbandcellularbasedradiofusionforindoorpositioning AT raquelbarco wififtmuwbandcellularbasedradiofusionforindoorpositioning |
_version_ |
1718431671821271040 |