Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 13, 30 November 2023
Open
Access | Article
An analysis of improvement methods for UWB positioning accuracy
* Author to whom correspondence should be addressed.
Abstract
Nowadays, due to the advancement of 5G technology and the emergence of smart cities, people's working and production environments are gradually transitioning from outdoors to indoors. Consequently, an increasing number of corporate and governmental organizations are demanding high-precision indoor positioning solutions. The utilization of ultra-wideband (UWB) signals in indoor positioning systems possesses multiple benefits, such as high transmission rates, strong anti-jamming capabilities, simple structures, and superior security measures. As a result, UWB stands out among other typical indoor positioning methods and has vast market potential. This paper introduces the basic concepts of ultra-wideband positioning techniques and thoroughly discusses the current state of domestic and international research as well as the main positioning models. The trilateral measurement method and TOA positioning algorithms are the primary focus of this paper. In the future, by exploring the combination of intelligent algorithms and wireless positioning technology by combining ultra-wideband and a variety of positioning methods and integrating these technologies together, it is possible to significantly improve positioning accuracy.
Keywords
UWB, Indoor Positioning, High Precision Positioning, Location Algorithm, TOA
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-189-6
- ISBN (Online)
- 978-1-83558-190-2
- Published Date
- 30 November 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/13/20240798
- Copyright
- 30 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited