Next Article in Journal
A Plasmonic Temperature-Sensing Structure Based on Dual Laterally Side-Coupled Hexagonal Cavities
Next Article in Special Issue
On the Choice of Access Point Selection Criterion and Other Position Estimation Characteristics for WLAN-Based Indoor Positioning
Previous Article in Journal
A Novel Method for Proximity Detection of Moving Targets Using a Large-Scale Planar Capacitive Sensor System
Previous Article in Special Issue
A Nonlinear Framework of Delayed Particle Smoothing Method for Vehicle Localization under Non-Gaussian Environment
Article Menu

Export Article

Open AccessReview
Sensors 2016, 16(5), 707; doi:10.3390/s16050707

Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances

1
Computer Research Institute, King Abdulaziz City for Science and Technology, Riyadh 11442, Saudi Arabia
2
Computer Science Department, King Saud University, Riyadh 11451, Saudi Arabia
3
Department of Computer Science, Al-Imam Mohammad bin Saud Islamic University, Riyadh 11432, Saudi Arabia
4
Information Technology Department, King Saud University, Riyadh 11451, Saudi Arabia
This paper is an extended version of our paper published in Cyberworlds 2014 and Sensorcomm 2014. Al-Ammar, M.; Alhadhrami, S.; Al-Salman, A.; Alarifi, A. Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms. In Proceedings of the 2014 International Conference on Cyberworlds (CW), Santander, Spain, 6–8 October 2014; pp. 1–8. Alhadhrami, S.; Al-Salman, A.; Al-Khalifa, H.; Alarifi, A.; Alnafessah, A.; Alsaleh, M.; Al-Ammar, M. Ultra Wideband Positioning: An Analytical Study of Emerging Technologies. In Proceedings of the Eighth International Conference on Sensor Technologies and Applications, SENSORCOMM 2014, Rome, Italy, 16–20 November 2014; pp. 1–9.
*
Author to whom correspondence should be addressed.
Academic Editors: Lyudmila Mihaylova, Byung-Gyu Kim and Debi Prosad Dogra
Received: 17 March 2016 / Revised: 1 May 2016 / Accepted: 4 May 2016 / Published: 16 May 2016
(This article belongs to the Special Issue Scalable Localization in Wireless Sensor Networks)
View Full-Text   |   Download PDF [658 KB, uploaded 19 May 2016]   |  

Abstract

In recent years, indoor positioning has emerged as a critical function in many end-user applications; including military, civilian, disaster relief and peacekeeping missions. In comparison with outdoor environments, sensing location information in indoor environments requires a higher precision and is a more challenging task in part because various objects reflect and disperse signals. Ultra WideBand (UWB) is an emerging technology in the field of indoor positioning that has shown better performance compared to others. In order to set the stage for this work, we provide a survey of the state-of-the-art technologies in indoor positioning, followed by a detailed comparative analysis of UWB positioning technologies. We also provide an analysis of strengths, weaknesses, opportunities, and threats (SWOT) to analyze the present state of UWB positioning technologies. While SWOT is not a quantitative approach, it helps in assessing the real status and in revealing the potential of UWB positioning to effectively address the indoor positioning problem. Unlike previous studies, this paper presents new taxonomies, reviews some major recent advances, and argues for further exploration by the research community of this challenging problem space. View Full-Text
Keywords: Ultra Wideband; UWB; localization; positioning; indoor positioning; wireless sensor networks; wearable computing; SWOT Ultra Wideband; UWB; localization; positioning; indoor positioning; wireless sensor networks; wearable computing; SWOT
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Alarifi, A.; Al-Salman, A.; Alsaleh, M.; Alnafessah, A.; Al-Hadhrami, S.; Al-Ammar, M.A.; Al-Khalifa, H.S. Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances. Sensors 2016, 16, 707.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top