Detection of UWB ranging measurement quality for collaborative indoor positioning
Wireless communication signals have become popular alternatives for indoor positioning and navigation due to lack of navigation satellite signals in such environments. The signal characteristics determine the method used for positioning as well as the positioning accuracy. Ultra-wideband (UWB) signa...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Taylor & Francis
2016
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/33128/ |
| _version_ | 1848794563779493888 |
|---|---|
| author | Jing, Hao Bonenberg, Lukasz Kosma Pinchin, James Hill, Chris Moore, Terry |
| author_facet | Jing, Hao Bonenberg, Lukasz Kosma Pinchin, James Hill, Chris Moore, Terry |
| author_sort | Jing, Hao |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Wireless communication signals have become popular alternatives for indoor positioning and navigation due to lack of navigation satellite signals in such environments. The signal characteristics determine the method used for positioning as well as the positioning accuracy. Ultra-wideband (UWB) signals, with a typical bandwidth of over 1 GHz, overcome multipath problems in complicated environments. Hence, potentially achieves centimetre-level ranging accuracy in open areas. However, signals can be disrupted when placed in environments with obstructions and cause large ranging errors. This paper proposes a ranging measurement quality indicator (RQI) which detects the UWB measurement quality based on the received signal strength pattern. With a detection validity of more than 83%, the RQI is then implemented in a ranging-based collaborative positioning system. The relative constraint of the collaborative network is adjusted adaptively according to the detected RQI. The proposed detection and positioning algorithm improves positioning accuracy by 80% compared to non-adaptive collaborative positioning. |
| first_indexed | 2025-11-14T19:18:11Z |
| format | Article |
| id | nottingham-33128 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:18:11Z |
| publishDate | 2016 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-331282020-05-04T17:32:19Z https://eprints.nottingham.ac.uk/33128/ Detection of UWB ranging measurement quality for collaborative indoor positioning Jing, Hao Bonenberg, Lukasz Kosma Pinchin, James Hill, Chris Moore, Terry Wireless communication signals have become popular alternatives for indoor positioning and navigation due to lack of navigation satellite signals in such environments. The signal characteristics determine the method used for positioning as well as the positioning accuracy. Ultra-wideband (UWB) signals, with a typical bandwidth of over 1 GHz, overcome multipath problems in complicated environments. Hence, potentially achieves centimetre-level ranging accuracy in open areas. However, signals can be disrupted when placed in environments with obstructions and cause large ranging errors. This paper proposes a ranging measurement quality indicator (RQI) which detects the UWB measurement quality based on the received signal strength pattern. With a detection validity of more than 83%, the RQI is then implemented in a ranging-based collaborative positioning system. The relative constraint of the collaborative network is adjusted adaptively according to the detected RQI. The proposed detection and positioning algorithm improves positioning accuracy by 80% compared to non-adaptive collaborative positioning. Taylor & Francis 2016-01-13 Article PeerReviewed Jing, Hao, Bonenberg, Lukasz Kosma, Pinchin, James, Hill, Chris and Moore, Terry (2016) Detection of UWB ranging measurement quality for collaborative indoor positioning. Journal of Location Based Services, 9 (4). pp. 296-319. ISSN 1748-9725 Collaborative positioning; adaptive; ranging constraint; quality detection; UWB ranging http://dx.doi.org/10.1080/17489725.2015.1120359 doi:10.1080/17489725.2015.1120359 doi:10.1080/17489725.2015.1120359 |
| spellingShingle | Collaborative positioning; adaptive; ranging constraint; quality detection; UWB ranging Jing, Hao Bonenberg, Lukasz Kosma Pinchin, James Hill, Chris Moore, Terry Detection of UWB ranging measurement quality for collaborative indoor positioning |
| title | Detection of UWB ranging measurement quality for collaborative indoor positioning |
| title_full | Detection of UWB ranging measurement quality for collaborative indoor positioning |
| title_fullStr | Detection of UWB ranging measurement quality for collaborative indoor positioning |
| title_full_unstemmed | Detection of UWB ranging measurement quality for collaborative indoor positioning |
| title_short | Detection of UWB ranging measurement quality for collaborative indoor positioning |
| title_sort | detection of uwb ranging measurement quality for collaborative indoor positioning |
| topic | Collaborative positioning; adaptive; ranging constraint; quality detection; UWB ranging |
| url | https://eprints.nottingham.ac.uk/33128/ https://eprints.nottingham.ac.uk/33128/ https://eprints.nottingham.ac.uk/33128/ |